Jobs at Amgen

CAREER LEVEL: GCF 4 – Senior Associate CAREER TRACK: Individual Contributor PRIMARY SCOPE: Independent ownership of defined full-stack production components and vertical slices ORGANIZATION: Applied AI | AI Studio ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains at the cutting edge of innovation, using technology and human genetic data to push beyond what is known today. ABOUT THE ROLE Role Description: The Full-Stack Software Engineer role offers a unique opportunity to join a fun, innovative engineering team within the AI & Data Science (AI&D) - organization. We are the Applied AI team (AI Studio). AI Studio is Amgen’s enterprise engine for turning high-value business challenges into scalable AI products. We partner with key business partners across the company to identify the right opportunities, shape them into actionable use cases, and design, build, and launch AI products responsibly. Our work spans the full lifecycle from early discovery and rapid prototyping to production deployment, reuse across the enterprise, and measurable business impact. You will independently own defined production components and vertical slices within enterprise AI applications and automation products. You will translate well-scoped requirements into reliable software, diagnose moderately complex issues across layers, connect component measures to user and workflow outcomes and coordinate with adjacent teams so the component is secure, accessible, supportable and production ready. Within Applied AI, AI Studio turns prioritized business demand into governed, reusable AI assets with accountable ownership and measurable value across software, data, automation, machine learning, Generative AI, RAG, bounded agents, evaluation, observability and lifecycle operations. Roles & Responsibilities: • Define the component boundary with product, UX, business, domain, architecture and engineering partners; clarify intended use, acceptance criteria, non-functional requirements, user outcome, support expectations and estimates. • Design and implement accessible, responsive UI components with clear state, secure sessions, loading, error, empty, streaming, review and approval patterns using modern JavaScript or TypeScript frameworks. • Build APIs, services, background jobs, data models, queries, migrations, queues, events and integrations using Python, Node.js, Java or C#, SQL/NoSQL, versioned contracts, validation, authorization, retries and useful failure semantics. • Integrate approved model inference, LLMs, embeddings, vector search, RAG, structured output, agent tools, BI or workflow automation with input/output validation, human control and component-level evaluation. • Implement layered unit, integration, API, contract, UI, accessibility, performance, security, data and AI-evaluation tests and use evidence to diagnose moderate cross-layer failures. • Use cloud services, containers, CI/CD, infrastructure as code where appropriate, feature flags, backward-compatible deployment, monitoring, rollback and incident practices. • Define and maintain indicators for availability, latency, errors, frontend behaviour, database performance, data freshness, AI quality, user experience, operating cost and support health. • Apply identity, least privilege, OWASP, privacy, Responsible AI, accessibility, validation, traceability and GxP controls; contribute reusable components and guide Associate engineers on familiar work. Basic Qualifications and Experience: • Bachler’s/Master’s degree and 5 to 9 years of Computer Science, IT or related field experience. Functional Skills: • Full-stack product engineering: Independent design, implementation, diagnosis and maintenance of a coherent frontend-to-backend production component or vertical slice. • Backend, API, data and distributed systems: Versioned contracts, validation, authentication and authorization, caching, concurrency, queues, events, transactions, retries, idempotency, observability, persistence and schema evolution. • AI-enabled applications and automation: Integration of predictive models, LLMs, embeddings, vector or hybrid search, RAG, structured output, tool-using agents, BI and deterministic workflows with human control. • Testing, cloud and lifecycle reliability: Layered testing, source-control discipline, technical documentation, containers, CI/CD, configuration, versioning, monitoring, rollback, incident response, root-cause analysis and support. • Security, Responsible AI and GxP: OAuth/OIDC, role-based access, least privilege, secrets, OWASP, privacy, threat awareness, prompt-injection safeguards, auditability, accessibility, validation and quality evidence. Must-Have Skills: • Demonstrated ownership of at least one production frontend, backend, API, data, integration, automation or AI-enabled component. • Strong hands-on proficiency in JavaScript or TypeScript, at least one backend language such as Python, Java, C# or Node.js, and SQL. • Ability to design, build, release, monitor, diagnose and maintain a defined production slice with limited guidance. Good-to-Have Skills: • Advanced frontend engineering: Experience with Next.js rendering patterns, reusable design systems, browser telemetry, frontend performance, complex data-intensive interfaces or accessible human-AI review workflows. • Distributed services and integration: Experience with GraphQL, WebSocket, Kafka or other event platforms, durable workflows, outbox or saga patterns, stream processing, API gateways, graph/vector stores or complex integrations. • AI and intelligent automation: Experience with scikit-learn, PyTorch, TensorFlow, Hugging Face, model-serving APIs, RAG evaluation, agent orchestration, document intelligence, computer vision, BI or automation. • Cloud and observability: Experience with AWS, Databricks, Kubernetes, serverless services, infrastructure as code, OpenTelemetry, Prometheus, Grafana, Splunk, CloudWatch or feature management. • Regulated delivery: Experience in healthcare, life sciences, GxP, validated systems or another regulated environment. Soft Skills: • Independent ownership, sound technical judgment and disciplined production follow-through. • Strong analytical and troubleshooting skills across frontend, API, data, integration and AI layers. • Clear communication of design decisions, estimates, evidence, trade-offs, risks and support implications. • Effective collaboration with product, UX, business, architecture, ML, platform, security, quality and operations teams. • Ability to guide junior engineers and improve reusable engineering practices. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, colour, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.

CAREER LEVEL: GCF 5 – Specialist CAREER TRACK: Individual Contributor PRIMARY SCOPE: End-to-end ownership of a small full-stack AI product or substantial technical workstream ORGANIZATION: Applied AI | AI Studio ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains at the cutting edge of innovation, using technology and human genetic data to push beyond what is known today. ABOUT THE ROLE Role Description: The Senior Full-Stack Software Engineer offers a unique opportunity to join a fun, innovative engineering team within the AI & Data Science (AI&D) - organization. We are the Applied AI team (AI Studio). AI Studio is Amgen’s enterprise engine for turning high-value business challenges into scalable AI products. We partner with key business partners across the company to identify the right opportunities, shape them into actionable use cases, and design, build, and launch AI products responsibly. Our work spans the full lifecycle—from early discovery and rapid prototyping to production deployment, reuse across the enterprise, and measurable business impact. You will define and own a small AI product or substantial application workstream from problem framing through architecture, implementation, launch, stabilization, support transition, adoption and measurable outcome. You will remain hands-on while leading engineering decisions that turn complex business needs into secure, accessible, reliable and reusable products spanning user experience, APIs, distributed services, data and integrations, automation, ML, GenAI, RAG, bounded agents and human review. Within Applied AI, AI Studio turns prioritized business demand into governed, reusable AI assets with accountable ownership and measurable value across software, data, automation, machine learning, Generative AI, RAG, bounded agents, evaluation, observability and lifecycle operations. Roles & Responsibilities: • Define the user, workflow, intended use, baseline, acceptance criteria, accessibility needs, adoption path, operating owner, value hypothesis and measurable technical and business outcomes. • Map rules, handoffs, exceptions, data dependencies and human decision points before selecting conventional software, automation, ML, GenAI, RAG, agents or a manual approach. • Lead sprint and release planning, estimates, capacity, dependencies, MVP and phased roadmaps, explicit assumptions, total cost of ownership and support transition. • Own production architecture across human-AI experience, frontend, API gateway, backend services, persistence, events, integrations, data/knowledge flows, AI capabilities, security zones and human review. • Lead responsive frontend and backend delivery using modern JavaScript/TypeScript and Python, Node.js, Java or C#, with stable contracts, asynchronous workflows, retries, idempotency, compensation, rate limits and graceful degradation. • Integrate model services, LLMs, RAG, search, agents, BI and deterministic automation with access-aware data, validation, representative evaluation, human control, feedback and traceable evidence. • Establish risk-based testing, AI evaluation, CI/CD, policy gates, infrastructure as code, staged release, SLOs, telemetry, rollback, incident response, disaster recovery, capacity, cost, runbooks and support ownership. • Coordinate governance and GxP controls, create reusable components and playbooks, lead root-cause analysis, measure adoption and value, mentor engineers and improve delivery practices. Basic Qualifications and Experience: • Bachelor’s/Master’s degree with 8 - 13 years of experience in Computer Science, IT or related field. Functional Skills: • End-to-end full-stack and human-AI engineering: User journeys, accessible frontend architecture, state, forms, secure sessions, streaming, review, correction, approval, uncertainty, feedback, telemetry and recoverable failure. • Backend, API, data and distributed-systems architecture: Services, events, workflows, persistence, caches, queues, transactions, retries, idempotency, compensation, multi-tenancy, consistency, resilience, contracts, data models and enterprise integrations. • AI-enabled applications and automation: Production integration of predictive ML, foundation models, embeddings, vector/graph retrieval, RAG, structured output, bounded agents, document/vision capabilities, BI and deterministic workflows. • Testing, cloud, DevSecOps and reliability: Representative testing and AI evaluation, repository governance, architecture decisions, CI/CD, infrastructure as code, quality gates, staged release, SLOs, observability, incidents, rollback, disaster recovery and FinOps. • Security, Responsible AI and regulated delivery: Identity, authorization, least privilege, tenant isolation, secrets, OWASP, supply-chain controls, privacy, threat modeling, prompt/tool safeguards, validation, auditability, accessibility and GxP evidence. Must-Have Skills: • Demonstrated end-to-end ownership of at least one production full-stack application, digital product, automation or AI-enabled system that delivered a measurable outcome. • Strong hands-on proficiency in JavaScript or TypeScript, at least one backend language such as Python, Java, C# or Node.js, and SQL, with experience designing production services. • Ability to lead application and integration architecture, delivery, release, operations and support while partnering with ML specialists for deeper model, RAG, agent and MLOps decisions. Good-to-Have Skills: • Advanced frontend and human-AI platforms: Experience with Next.js or comparable rendering patterns, design systems, micro-frontends where justified, multimodal or collaborative interfaces, advanced accessibility and safe agent approval experiences. • Distributed and enterprise integration: Experience with Kafka or equivalent event platforms, durable workflows, outbox or saga patterns, stream processing, service mesh, API gateways and large-scale integration architecture. • Advanced AI and automation engineering: Experience with vector or graph databases, graph or multimodal retrieval, model and agent gateways, MCP-style tool integration, durable agents, agent evaluation, process mining, UiPath or n8n. • Cloud, platform and developer experience: Experience with AWS, Bedrock or SageMaker, Databricks, Spark, Kubernetes, serverless services, infrastructure as code, OpenTelemetry, policy as code or internal developer platforms. • Regulated systems and technical breadth: Experience delivering GxP-relevant, validated, pharmaceutical, healthcare or other high-impact systems and evaluating emerging technologies pragmatically. Soft Skills: • Product thinking and ability to connect architecture and delivery decisions to measurable user, workflow and business value. • Strong technical leadership, mentoring and ownership while remaining hands-on. • Excellent analytical judgment, troubleshooting and clear communication of evidence, limitations and trade-offs. • Cross-functional leadership with product, business, UX, architecture, ML, platform and control functions. • Pragmatism, resilience and continuous improvement through incidents, feedback, reuse and measured outcomes. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.

ABOUT THE ROLE Let’s do this. Let’s change the world. We are looking for a motivated Software Development Engineer II to join our Manufacturing Applications Product Team. This is a junior/mid-level role focused on building and enhancing full stack applications that support Manufacturing and Operations use cases. You will work under the guidance of senior engineers, contributing to feature development, bug fixes, and incremental improvements. This role emphasizes learning, mentorship, and collaboration while providing exposure to modern technologies and practices. Roles & Responsibilities • Design, develop, and maintain features for full stack applications using React (front-end) and Python FastAPI (back-end). • Assist in building and optimizing APIs, microservices, and cloud-native solutions on AWS. • Develop responsive user interfaces and ensure seamless user experiences across devices. • Collaborate with senior engineers and cross-functional teams to translate requirements into technical deliverables. • Participate in Agile ceremonies, sprint planning, and code reviews, contributing to team success. • Support DevOps practices, including CI/CD pipeline setup and automated testing under guidance. • Maintain technical documentation for developed features and modules. • Leverage AI-assisted coding tools (e.g., GitHub Copilot) to accelerate development and improve code quality. • Stay curious and continuously learn emerging technologies and best practices. Must-Have Skills • Hands-on experience in software engineering with exposure to full stack development. • Practical experience with React (front-end) and Python FastAPI (back-end) for developing production features. • Basic understanding of cloud platforms (AWS) and willingness to learn cloud-native architectures. • Familiarity with microservices, API development, and distributed systems. • Exposure to CI/CD pipelines and DevOps practices. • Experience using AI-assisted coding tools (GitHub Copilot, Claude Code, Cursor, etc.). • Strong problem-solving and analytical skills. • Good communication and teamwork skills. • Experience working in Agile development environments (Scrum, Kanban, or SAFe). Good-to-Have Skills • Experience with event-driven architectures and streaming technologies such as Apache Kafka, Debezium, or similar platforms. • Experience with test automation frameworks (e.g., Selenium, Pytest). • Experience deploying, managing, and scaling applications using Kubernetes or similar container orchestration platforms. • Experience with developing applications integrated with Large Language Models (LLMs), such as OpenAI GPT, Azure OpenAI, or similar platforms. • Experience with other modern frameworks or languages such as Angular, Vue.js, Node.js, Java, or .NET is a plus. Education and Certifications Bachelor’s degree with 5-8 years in Computer Science, Engineering, Information Systems, or related field. Relevant certifications (AWS, SAFe Agile) are a plus. Soft Skills • Analytical and troubleshooting skills. • Strong verbal and written communication skills. • Ability to work effectively with global, virtual teams. • Initiative and self-motivation. • Ability to manage multiple priorities successfully. • Team-oriented, with a focus on achieving team goals. • Ability to learn quickly, be organized, and detail-oriented.

Job Description ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world's toughest diseases, and make people's lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what's known today. ABOUT THE ROLE The Senior Associate Software Engineer is a hands-on software engineering contributor within the Applied AI - AI Productivity and Custom GPT Solutions Practice. The role designs, develops, tests, deploys, and supports secure, scalable, intuitive, and reusable GenAI solutions, including LLM-powered assistants, agents, Custom GPTs, retrieval-augmented generation (RAG) applications, and associated AI capabilities on approved enterprise platforms. RESPONSIBILITIES GenAI Solution Delivery • Design, develop, test, and deploy LLM-powered assistants, agents, Custom GPTs, RAG solutions, APIs, and AI-enabled applications on ChatGPT Enterprise and other approved platforms. • Implement prompt and context strategies, structured outputs, embeddings, vector or hybrid retrieval, tool calling, workflow orchestration, and human-in-the-loop controls. • Build scalable RAG pipelines that ground responses in trusted enterprise data. • Contribute to the GenAI capability roadmap through implementation of MCP-based Apps, ChatGPT Skills, plugins, Workspace Agents, and reusable integration patterns. • Develop integration layers and event-driven workflows using APIs, RPA, n8n, and approved orchestration tools to connect systems and trigger agent workflows. • Develop reusable Python services, libraries, templates, and evaluation utilities, and contribute TypeScript, React, or Next.js components when required by the solution. Quality, Security, and Operations • Implement automated unit, integration evaluation, and end-to-end tests, along with tracing and monitoring for retrieval quality, response consistency and reliability. • Implement safeguards for prompt injection, data leakage, unauthorized retrieval, insecure tool execution, secrets exposure, excessive agency, and inappropriate model outputs. • Apply secure integration and identity patterns using API gateways, OAuth, service identities, delegated authorization, role-based access control, secrets management, least privilege, and user-level auditability. • Build and maintain CI/CD pipelines and approved cloud deployment configurations using AWS services, containers, serverless compute, or managed platform capabilities. • Troubleshoot defects across application, model, retrieval, data, integration, and infrastructure layers; support incident investigation, remediation, rollback, patching, and performance tuning. • Create and maintain technical designs, test evidence, runbooks, deployment instructions, and handover materials that support sustainable operations. Collaboration and Enablement • Partner with functional teams, product owners, architects, business SMEs, data engineers, platform teams, DevOps, cybersecurity, privacy, and responsible AI stakeholders to translate requirements into reliable solutions. • Participate in agile planning, backlog refinement, estimation, demonstrations, retrospectives, release activities, and technical design reviews. • Review code and technical designs, apply software engineering standards, and use AI-assisted development tools such as OpenAI Codex or GitHub Copilot with appropriate review, security, and quality controls. • Support office hours, technical enablement sessions, junior engineers, and knowledge-sharing through reusable examples, engineering patterns, and lessons learned. • Communicate delivery status, technical risks, dependencies, defects, and recommendations clearly to technical and non-technical stakeholders. REQUIRED SKILLS AND QUALIFICATIONS Basic Qualifications • Any degree and 5 to 9 years of relevant experience in Computer Science, Information Technology, Engineering, Data Science, or a related field Must-Have Skills • 4 or more years of professional experience in software development, application engineering, systems integration, or system design. • 2 or more years of hands-on experience building, deploying, or supporting production GenAI applications, assistants, agents, Custom GPTs, RAG solutions, or comparable AI-enabled software. • Strong hands-on proficiency in Python and experience developing, testing, debugging, and maintaining production applications, APIs, data services, or integration components. • Hands-on experience with prompt and context design, embeddings, vector databases or search, retrieval pipelines, structured outputs, tool integration, agent orchestration, evaluation, guardrails, and observability. • Experience designing and building cloud-native solutions, preferably on AWS, using services such as Amazon Bedrock, AWS Lambda, Amazon EKS or ECS, API Gateway, IAM, networking, monitoring, and event-driven integration. • Experience designing secure RESTful or GraphQL integrations using API gateways, OAuth, service identities, enterprise authentication, role-based access, secrets management, and least-privilege principles. • Experience with automated testing, source control, code review, Git-based workflows, CI/CD, and responsible use of AI-assisted software development tools. • Experience building modern web applications using TypeScript, React, Next.js, component-driven architecture, state management, design systems, and API integration. • Working knowledge of SQL, files, databases, and governed data-access patterns, with strong troubleshooting and analytical skills across application, model, data, integration, and infrastructure layers. Professional Skills • Strong verbal and written communication skills and the ability to produce clear technical documentation. • Ability to collaborate effectively with global, distributed, cross-functional teams using agile or scaled agile ways of working. • High degree of initiative, adaptability, ownership, and self-motivation while delivering high-quality outcomes with appropriate guidance. • Ability to manage multiple priorities, assess gaps and fit, communicate technical risks and tradeoffs, and support shared team outcomes. Preferred Qualifications • Experience with OpenAI APIs and SDKs, MCP servers and Apps, ChatGPT Skills, plugins, Workspace Agents, LangChain, LangGraph, n8n, or comparable agent technologies. • Experience with Amazon Bedrock and related agent capabilities, AWS Lambda, Amazon EKS or ECS, Amazon EC2, API Gateway, IAM, VPC networking, or event-driven services. • Experience with Databricks, Unity Catalog, Vector Search, SQL Warehouses, semantic layers, or governed natural-language-to-SQL solutions. • Experience with Power Automate, UiPath, Tableau, Jira, Smartsheet, or comparable automation and delivery tools. • Experience with model and application evaluation, red teaming, responsible AI, AI security, GxP, computer-system validation, regulated technology environments, or relevant technical certifications. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. Role Description We are seeking an experienced Senior Associate Software Engineer to design, develop, deploy, and support scalable enterprise software applications. This role will contribute to full-stack development, cloud engineering, DevOps, application security, system reliability, and AI-enabled solutions. The ideal candidate has strong hands-on experience with React, Vite, FastAPI, Python, TypeScript or JavaScript, RESTful APIs, AWS, containerization, CI/CD, automated testing, and production support. The candidate will collaborate with product managers, UX/UI designers, engineers, data teams, QA, cybersecurity, and DevOps teams to deliver secure, reliable, and maintainable solutions. Roles and Responsibilities • Develop, test, deploy, and maintain scalable software applications. • Build front-end applications using React, Vite, TypeScript, and modern UI-development practices. • Develop back-end applications, RESTful APIs, integration services, and data-access components using Python and FastAPI. • Build responsive, accessible user interfaces and reusable UI components aligned with enterprise UX standards. • Translate business requirements into secure, maintainable, production-ready solutions. • Contribute to software-design discussions and technical decisions. • Develop cloud-native applications using APIs, microservices, serverless services, containers, and event-driven patterns. • Integrate applications with enterprise platforms, identity services, databases, cloud services, and third-party systems. • Develop AI-enabled applications using Generative AI, LLMs, RAG, and related technologies where appropriate. • Collaborate with data scientists and ML engineers to integrate predictive models and AI capabilities. • Support model-serving APIs and MLOps processes for deployment and monitoring. • Develop unit, integration, end-to-end, regression, and automated acceptance tests. • Participate in peer code reviews and follow coding, security, and quality standards. • Apply secure software-development practices throughout the development lifecycle. • Use tools such as Veracode, Snyk, SonarQube, or equivalent platforms and remediate identified findings. • Contribute to CI/CD pipelines and automate build, testing, security validation, and deployment. • Troubleshoot application defects, production incidents, integration issues, and performance bottlenecks. • Implement logging, monitoring, alerting, and operational dashboards. • Maintain technical documentation, including solution designs, API specifications, deployment guides, and support procedures. • Collaborate with product, UX/UI, QA, data engineering, cybersecurity, architecture, and DevOps teams. • Participate in Agile ceremonies, estimation, and release planning. • Stay current with emerging software, cloud, security, UI, and AI technologies. • Participate in production support activities, including occasional off-hours support. Basic Qualifications and Experience • Master’s or Bachelor’s degree and 5–9 years of experience in Computer Science, Information Technology, Software Engineering, Engineering, or a related field. Must-Have Skills • Strong foundation in software design, object-oriented programming, design patterns, RESTful APIs, microservices, cloud-native applications, and containerization. • Strong hands-on experience with full-stack software development. • Strong proficiency in Python, TypeScript or JavaScript, HTML5, CSS3, and SQL. • Proficiency in FastAPI, including API design, validation, dependency injection, authentication, exception handling, testing, and deployment. • Hands-on experience developing modern web applications using React and Vite. • Experience with component-based architecture, state management, routing, reusable components, responsive design, and performance optimization. • Experience integrating applications with RESTful or GraphQL APIs, databases, enterprise platforms, and third-party services. • Understanding of web accessibility standards, including WCAG. • Experience with cloud-based application development, with AWS preferred. • Familiarity with AWS services such as Lambda, ECS, EKS, API Gateway, S3, RDS, DynamoDB, CloudWatch, and EventBridge. • Experience with Git, CI/CD, automated testing, code-quality controls, and production deployment. • Experience with Docker and containerized application development. • Understanding of authentication, authorization, RBAC, secrets management, secure APIs, and OWASP Top 10. • Experience with application-security or code-quality tools such as Veracode, Snyk, SonarQube, Checkmarx, Fortify, or equivalent platforms. • Experience analyzing and remediating code-quality, dependency, and security findings. • Understanding of Generative AI concepts, including LLMs, RAG, prompt engineering, embeddings, and AI-assisted development. • Experience using tools such as GitHub Copilot, OpenAI Codex, Cursor, or equivalent approved platforms. • Strong analytical, debugging, troubleshooting, and problem-solving skills. • Experience delivering software using Agile methodologies. Good-to-Have Skills • Experience with UI component libraries such as Material UI, Ant Design, or Fluent UI. • Experience with Kubernetes and container orchestration. • Experience with AWS-native serverless and cloud-native architectures. • Experience with Infrastructure as Code using Terraform, AWS CDK, CloudFormation, or equivalent tools. • Experience with monitoring tools such as CloudWatch, Prometheus, Grafana, Splunk, Datadog, or OpenTelemetry. • Experience with relational and NoSQL databases. • Experience with message queues, asynchronous processing, and event-driven technologies. • Familiarity with DevSecOps, software composition analysis, penetration testing, and container-security scanning. • Experience with machine learning model integration, model-serving APIs, or MLOps platforms. • Experience developing GenAI applications using LangChain, LangGraph, LlamaIndex, Semantic Kernel, Amazon Bedrock, or equivalent technologies. • Experience with vector databases and semantic search. • Experience collaborating with UX/UI designers. • Experience in biotechnology, pharmaceutical, life sciences, manufacturing, or another regulated industry. Preferred Certifications • AWS Certified Developer, Solutions Architect, or another relevant cloud certification. • Relevant software-development, DevOps, Kubernetes, application-security, AI, or machine-learning certification. • Scaled Agile Framework certification. Soft Skills • Excellent analytical and troubleshooting skills. • Strong verbal and written communication skills. • Ability to work effectively with global and virtual teams. • High degree of initiative, ownership, and self-motivation. • Ability to manage multiple priorities and meet delivery commitments. • Strong teamwork, collaboration, and presentation skills. • Ability to explain technical concepts to technical and non-technical stakeholders. • Strong attention to software quality, security, reliability, and continuous learning.

Job Description ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases and make people’s lives easier, fuller, and longer. We discover, develop, manufacture, and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting edge of innovation, using technology and human genetic data to push beyond what is known today. ABOUT THE ROLE Role Description Global Supply Chain (GSC) is accountable for orchestrating end-to-end supply chain strategies and operations that ensure reliable, timely delivery of medicines to patients — powered by data, innovation, and enterprise-wide collaboration. As part of our team expansion at Amgen India (AIN), GSC is seeking an experienced applied AI Data Scientist to join our team. As a Senior AI Data Scientist, you will be responsible for designing, developing, and deploying complex software applications on clinical and commercial supply chain processes. This role will be actively collaborating with a wide range of business leaders, designing and implementing sophisticated analytical models. You will work closely with cross-functional teams to deliver high-quality, scalable, and maintainable solutions. ROLES & RESPONSIBILITIES Responsibilities will include, but are not limited to: • Rapid prototyping and AI solution development: Quickly translate business concepts, scientific questions, and product ideas into working AI prototypes, production-ready code, and scalable digital capabilities. • AI/ML, Generative AI, and advanced modeling delivery: Develop innovative AI/ML solutions using Large Language Models, Generative AI, foundation models, supervised and unsupervised learning, and other advanced modeling techniques to support supply chain decision-making and automation. • AI application integration and automation: Integrate AI capabilities into Global Supply Chain applications, APIs, workflows, assistants, copilots, and automation platforms using context engineering, tool integration, and emerging approaches such as Model Context Protocol to enable real-time intelligence, productivity, operational efficiency, and improved user experience. • End-to-end AI and data science ownership: Own complex AI, data science, and decision-support solutions from problem framing through prototype, validation, deployment, and stabilization, managing scope, risks, dependencies, timelines, technical tradeoffs, and measurable outcomes such as cycle time, forecast quality, data quality, and operational efficiency. • Technical documentation, quality, and problem-solving: Create clear documentation for prototypes and solutions, including design choices, data flows, AI workflows, assumptions, limitations, and key implementation details; identify and resolve technical challenges effectively. • Technology evaluation and learning agility: Stay current with emerging AI technologies, frameworks, industry trends, and engineering practices, demonstrating the ability to assess options, conduct due diligence, and make informed technology recommendations based on business value, technical fit, and implementation impact. • Product and module ownership: Develop a strong understanding of the overall product, its modules, dependencies, AI components, and user workflows while serving as a technical expert for assigned components or solution areas. • Cross-functional collaboration and stakeholder partnership: Work closely with product teams, business teams, technology teams, architecture teams, AI platform teams, data teams, stakeholders, and subject-matter experts to deliver practical, scientific, data-driven solutions aligned with enterprise standards. • Requirements translation and Agile delivery: Synthesize business, scientific, and technical inputs into prioritized features, user stories, acceptance criteria, and delivery plans; actively participate in Agile ceremonies, including sprint planning, backlog refinement, estimation, demos, and retrospectives. • Innovation and continuous improvement: Contribute to a culture of accountability, continuous learning, innovation, technical curiosity, rapid experimentation, platform-first thinking, and high-quality delivery. Must-Have Skills • 5+ years of Experience in developing and applying AI/ML, Generative AI, analytics, automation, BI, and data visualization solutions to supply chain use cases, using techniques such as Large Language Models, foundation models, predictive modeling, feature engineering, and exploratory data analysis to solve complex business problems. • Hands-on experience building GenAI and LLM-based applications, including chatbots, copilots, Retrieval-Augmented Generation pipelines, vector database integration, prompt-driven workflows, context-aware AI systems, and enterprise application or workflow integration. • Experience with AI orchestration and application frameworks such as LangChain, LangGraph, or similar tools. • Strong understanding of AI agent architectures, orchestration patterns, Responsible AI, model validation principles, and enterprise AI governance. • Strong hands-on development skills for AI and data science solutions, including Python, AI/ML and data science libraries, APIs, SQL/NoSQL databases, data pipelines, and modern application development practices. • Prior exposure to pharma, life sciences, or regulated AI environments preferred; familiarity with GxP, HIPAA, or related compliance expectations is a plus. Soft Skills • Excellent problem-solving, storytelling, communication, and interpersonal skills, with the ability to explain technical concepts in clear business language. • Strong verbal and written communication skills, with attention to detail, organization, documentation, and presentation abilities. • Ability to bridge technical and non-technical teams, synthesize stakeholder inputs, and translate data and AI insights into meaningful business recommendations. • Skilled in breaking down complex problems, documenting problem statements, estimating effort, assessing technology tradeoffs, and analyzing implementation impact. • Independent, self-motivated, organized, and able to manage multiple priorities in fast-paced, time-sensitive environments. • Strong collaboration, facilitation, and team-working skills, including experience working effectively with global virtual teams. • Demonstrated ability to deliver results across Agile projects, adapt to setbacks, explore alternative approaches, and maintain persistence through completion. • Awareness of industry trends, emerging technologies, and new approaches for solving complex business problems.

ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. Role Description We are seeking an Associate Software Engineer to support the design, development, testing, deployment, and maintenance of secure and user-friendly software applications. Working under the guidance of senior engineers, this role will contribute to front-end development, back-end API integration, software testing, defect resolution, and production support. The engineer will collaborate with product managers, UX/UI designers, developers, QA professionals, and DevOps teams to deliver reliable and scalable software solutions. The role also includes quality assurance responsibilities such as test planning, test execution, defect management, regression testing, and test automation to ensure applications meet functional, performance, accessibility, and usability requirements before release. Roles and Responsibilities Software Development • Contribute to the design, development, testing, deployment, and maintenance of software applications. • Work with senior engineers to implement features based on business, technical, and user-experience requirements. • Develop front-end applications using React, Vite, TypeScript or JavaScript, HTML5, and CSS3. • Build reusable, responsive, and accessible user-interface components following enterprise design standards. • Collaborate with UX/UI designers to translate wireframes, prototypes, and mockups into functional interfaces. • Integrate front-end applications with RESTful APIs and back-end services. • Contribute to back-end API development using Python and FastAPI under the guidance of senior engineers. • Support integration with enterprise applications, databases, identity platforms, cloud services, and third-party APIs. • Participate in software design discussions, peer code reviews, and technical walkthroughs. • Follow coding standards, secure development practices, and reusable software-design patterns. • Develop and maintain unit, integration, and end-to-end automated tests. • Troubleshoot and resolve software defects, integration issues, and performance problems. • Support CI/CD processes for automated build, testing, security scanning, and deployment. • Create and maintain technical documentation, including API details, configuration instructions, deployment steps, and support procedures. • Support application monitoring, production issue investigation, and operational improvements. • Participate in Agile ceremonies, including sprint planning, backlog refinement, daily stand-ups, demonstrations, and retrospectives. • Stay current with emerging software-development, cloud, testing, security, and AI technologies. Quality Assurance • Participate in test planning, test-case design, and test execution for new features and enhancements. • Develop, execute, and maintain functional, integration, regression, smoke, user-interface, and end-to-end test cases. • Perform manual testing and contribute to automated testing using appropriate frameworks. • Validate application functionality, usability, accessibility, data accuracy, and API behavior. • Identify, document, prioritize, and track software defects using tools such as Jira or Azure DevOps. • Validate defect fixes and perform regression testing to ensure application stability. • Collaborate with developers, product owners, and UX/UI designers to ensure requirements are testable and acceptance criteria are clear. • Support User Acceptance Testing by preparing test data, validating functionality, documenting results, and assisting business users. • Contribute to release-readiness reviews and confirm that software meets established quality standards before production deployment. • Support continuous improvement of testing processes, automation coverage, defect prevention, and overall software quality. Security and Quality • Follow secure software-development practices, including input validation, secure API usage, authentication, authorization, and secrets handling. • Support the remediation of findings from application-security and code-quality tools such as Veracode, SonarQube, Snyk, Checkmarx, or equivalent platforms. • Assist with dependency scanning, static code analysis, container scanning, and security validation within CI/CD pipelines. • Follow OWASP guidance and enterprise security standards when developing and testing applications. Basic Qualifications and Experience • Bachelor’s degree with 2–6 years of experience in Computer Science, Information Technology, Software Engineering, Engineering, or a related field. Functional Skills Must-Have Skills • Understanding of information systems, software-development principles, and the software-development lifecycle. • Hands-on experience with HTML5, CSS3, JavaScript or TypeScript. • Familiarity with React and Vite, Angular, Vue.js, or another modern front-end framework. • Understanding of component-based architecture, responsive design, application state, routing, and reusable UI development. • Familiarity with web accessibility standards and practices, including WCAG. • Ability to work with RESTful APIs and integrate front-end applications with back-end systems. • Basic knowledge of Python and FastAPI or a comparable back-end framework. • Understanding of relational databases, SQL, and basic data-access concepts. • Experience developing, testing, debugging, and deploying software applications. • Understanding of software-testing methodologies, including functional, integration, regression, smoke, end-to-end, and user acceptance testing. • Experience creating and executing test cases and documenting test results. • Basic experience with unit and UI testing frameworks such as Jest, React Testing Library, Cypress, Playwright, Selenium, or equivalent tools. • Understanding of REST API testing using Postman or an equivalent tool. • Familiarity with defect lifecycle management using Jira, Azure DevOps, or a similar platform. • Familiarity with Git-based version control, branching, pull requests, and code reviews. • Understanding of Agile and Scrum delivery methodologies. • Basic understanding of CI/CD pipelines and automated software deployment. • Understanding of secure coding principles, OWASP guidance, authentication, authorization, and dependency security. • Strong analytical, debugging, troubleshooting, and problem-solving skills.

CAREER LEVEL: GCF 4 – Senior Associate CAREER TRACK: Individual Contributor PRIMARY SCOPE: Independent ownership of defined full-stack production components and vertical slices ORGANIZATION: Applied AI | AI Studio ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains at the cutting edge of innovation, using technology and human genetic data to push beyond what is known today. ABOUT THE ROLE Role Description: The Full-Stack Software Engineer role offers a unique opportunity to join a fun, innovative engineering team within the AI & Data Science (AI&D) - organization. We are the Applied AI team (AI Studio). AI Studio is Amgen’s enterprise engine for turning high-value business challenges into scalable AI products. We partner with key business partners across the company to identify the right opportunities, shape them into actionable use cases, and design, build, and launch AI products responsibly. Our work spans the full lifecycle from early discovery and rapid prototyping to production deployment, reuse across the enterprise, and measurable business impact. You will independently own defined production components and vertical slices within enterprise AI applications and automation products. You will translate well-scoped requirements into reliable software, diagnose moderately complex issues across layers, connect component measures to user and workflow outcomes and coordinate with adjacent teams so the component is secure, accessible, supportable and production ready. Within Applied AI, AI Studio turns prioritized business demand into governed, reusable AI assets with accountable ownership and measurable value across software, data, automation, machine learning, Generative AI, RAG, bounded agents, evaluation, observability and lifecycle operations. Roles & Responsibilities: • Define the component boundary with product, UX, business, domain, architecture and engineering partners; clarify intended use, acceptance criteria, non-functional requirements, user outcome, support expectations and estimates. • Design and implement accessible, responsive UI components with clear state, secure sessions, loading, error, empty, streaming, review and approval patterns using modern JavaScript or TypeScript frameworks. • Build APIs, services, background jobs, data models, queries, migrations, queues, events and integrations using Python, Node.js, Java or C#, SQL/NoSQL, versioned contracts, validation, authorization, retries and useful failure semantics. • Integrate approved model inference, LLMs, embeddings, vector search, RAG, structured output, agent tools, BI or workflow automation with input/output validation, human control and component-level evaluation. • Implement layered unit, integration, API, contract, UI, accessibility, performance, security, data and AI-evaluation tests and use evidence to diagnose moderate cross-layer failures. • Use cloud services, containers, CI/CD, infrastructure as code where appropriate, feature flags, backward-compatible deployment, monitoring, rollback and incident practices. • Define and maintain indicators for availability, latency, errors, frontend behaviour, database performance, data freshness, AI quality, user experience, operating cost and support health. • Apply identity, least privilege, OWASP, privacy, Responsible AI, accessibility, validation, traceability and GxP controls; contribute reusable components and guide Associate engineers on familiar work. Basic Qualifications and Experience: • Bachler’s/Master’s degree and 5 to 9 years of Computer Science, IT or related field experience. Functional Skills: • Full-stack product engineering: Independent design, implementation, diagnosis and maintenance of a coherent frontend-to-backend production component or vertical slice. • Backend, API, data and distributed systems: Versioned contracts, validation, authentication and authorization, caching, concurrency, queues, events, transactions, retries, idempotency, observability, persistence and schema evolution. • AI-enabled applications and automation: Integration of predictive models, LLMs, embeddings, vector or hybrid search, RAG, structured output, tool-using agents, BI and deterministic workflows with human control. • Testing, cloud and lifecycle reliability: Layered testing, source-control discipline, technical documentation, containers, CI/CD, configuration, versioning, monitoring, rollback, incident response, root-cause analysis and support. • Security, Responsible AI and GxP: OAuth/OIDC, role-based access, least privilege, secrets, OWASP, privacy, threat awareness, prompt-injection safeguards, auditability, accessibility, validation and quality evidence. Must-Have Skills: • Demonstrated ownership of at least one production frontend, backend, API, data, integration, automation or AI-enabled component. • Strong hands-on proficiency in JavaScript or TypeScript, at least one backend language such as Python, Java, C# or Node.js, and SQL. • Ability to design, build, release, monitor, diagnose and maintain a defined production slice with limited guidance. Good-to-Have Skills: • Advanced frontend engineering: Experience with Next.js rendering patterns, reusable design systems, browser telemetry, frontend performance, complex data-intensive interfaces or accessible human-AI review workflows. • Distributed services and integration: Experience with GraphQL, WebSocket, Kafka or other event platforms, durable workflows, outbox or saga patterns, stream processing, API gateways, graph/vector stores or complex integrations. • AI and intelligent automation: Experience with scikit-learn, PyTorch, TensorFlow, Hugging Face, model-serving APIs, RAG evaluation, agent orchestration, document intelligence, computer vision, BI or automation. • Cloud and observability: Experience with AWS, Databricks, Kubernetes, serverless services, infrastructure as code, OpenTelemetry, Prometheus, Grafana, Splunk, CloudWatch or feature management. • Regulated delivery: Experience in healthcare, life sciences, GxP, validated systems or another regulated environment. Soft Skills: • Independent ownership, sound technical judgment and disciplined production follow-through. • Strong analytical and troubleshooting skills across frontend, API, data, integration and AI layers. • Clear communication of design decisions, estimates, evidence, trade-offs, risks and support implications. • Effective collaboration with product, UX, business, architecture, ML, platform, security, quality and operations teams. • Ability to guide junior engineers and improve reusable engineering practices. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, colour, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.

Job Description ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world's toughest diseases, and make people's lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what's known today. ABOUT THE ROLE The Senior Associate Software Engineer is a hands-on software engineering contributor within the Applied AI - AI Productivity and Custom GPT Solutions Practice. The role designs, develops, tests, deploys, and supports secure, scalable, intuitive, and reusable GenAI solutions, including LLM-powered assistants, agents, Custom GPTs, retrieval-augmented generation (RAG) applications, and associated AI capabilities on approved enterprise platforms. RESPONSIBILITIES GenAI Solution Delivery • Design, develop, test, and deploy LLM-powered assistants, agents, Custom GPTs, RAG solutions, APIs, and AI-enabled applications on ChatGPT Enterprise and other approved platforms. • Implement prompt and context strategies, structured outputs, embeddings, vector or hybrid retrieval, tool calling, workflow orchestration, and human-in-the-loop controls. • Build scalable RAG pipelines that ground responses in trusted enterprise data. • Contribute to the GenAI capability roadmap through implementation of MCP-based Apps, ChatGPT Skills, plugins, Workspace Agents, and reusable integration patterns. • Develop integration layers and event-driven workflows using APIs, RPA, n8n, and approved orchestration tools to connect systems and trigger agent workflows. • Develop reusable Python services, libraries, templates, and evaluation utilities, and contribute TypeScript, React, or Next.js components when required by the solution. Quality, Security, and Operations • Implement automated unit, integration evaluation, and end-to-end tests, along with tracing and monitoring for retrieval quality, response consistency and reliability. • Implement safeguards for prompt injection, data leakage, unauthorized retrieval, insecure tool execution, secrets exposure, excessive agency, and inappropriate model outputs. • Apply secure integration and identity patterns using API gateways, OAuth, service identities, delegated authorization, role-based access control, secrets management, least privilege, and user-level auditability. • Build and maintain CI/CD pipelines and approved cloud deployment configurations using AWS services, containers, serverless compute, or managed platform capabilities. • Troubleshoot defects across application, model, retrieval, data, integration, and infrastructure layers; support incident investigation, remediation, rollback, patching, and performance tuning. • Create and maintain technical designs, test evidence, runbooks, deployment instructions, and handover materials that support sustainable operations. Collaboration and Enablement • Partner with functional teams, product owners, architects, business SMEs, data engineers, platform teams, DevOps, cybersecurity, privacy, and responsible AI stakeholders to translate requirements into reliable solutions. • Participate in agile planning, backlog refinement, estimation, demonstrations, retrospectives, release activities, and technical design reviews. • Review code and technical designs, apply software engineering standards, and use AI-assisted development tools such as OpenAI Codex or GitHub Copilot with appropriate review, security, and quality controls. • Support office hours, technical enablement sessions, junior engineers, and knowledge-sharing through reusable examples, engineering patterns, and lessons learned. • Communicate delivery status, technical risks, dependencies, defects, and recommendations clearly to technical and non-technical stakeholders. REQUIRED SKILLS AND QUALIFICATIONS Basic Qualifications • Any degree and 5 to 9 years of relevant experience in Computer Science, Information Technology, Engineering, Data Science, or a related field Must-Have Skills • 4 or more years of professional experience in software development, application engineering, systems integration, or system design. • 2 or more years of hands-on experience building, deploying, or supporting production GenAI applications, assistants, agents, Custom GPTs, RAG solutions, or comparable AI-enabled software. • Strong hands-on proficiency in Python and experience developing, testing, debugging, and maintaining production applications, APIs, data services, or integration components. • Hands-on experience with prompt and context design, embeddings, vector databases or search, retrieval pipelines, structured outputs, tool integration, agent orchestration, evaluation, guardrails, and observability. • Experience designing and building cloud-native solutions, preferably on AWS, using services such as Amazon Bedrock, AWS Lambda, Amazon EKS or ECS, API Gateway, IAM, networking, monitoring, and event-driven integration. • Experience designing secure RESTful or GraphQL integrations using API gateways, OAuth, service identities, enterprise authentication, role-based access, secrets management, and least-privilege principles. • Experience with automated testing, source control, code review, Git-based workflows, CI/CD, and responsible use of AI-assisted software development tools. • Experience building modern web applications using TypeScript, React, Next.js, component-driven architecture, state management, design systems, and API integration. • Working knowledge of SQL, files, databases, and governed data-access patterns, with strong troubleshooting and analytical skills across application, model, data, integration, and infrastructure layers. Professional Skills • Strong verbal and written communication skills and the ability to produce clear technical documentation. • Ability to collaborate effectively with global, distributed, cross-functional teams using agile or scaled agile ways of working. • High degree of initiative, adaptability, ownership, and self-motivation while delivering high-quality outcomes with appropriate guidance. • Ability to manage multiple priorities, assess gaps and fit, communicate technical risks and tradeoffs, and support shared team outcomes. Preferred Qualifications • Experience with OpenAI APIs and SDKs, MCP servers and Apps, ChatGPT Skills, plugins, Workspace Agents, LangChain, LangGraph, n8n, or comparable agent technologies. • Experience with Amazon Bedrock and related agent capabilities, AWS Lambda, Amazon EKS or ECS, Amazon EC2, API Gateway, IAM, VPC networking, or event-driven services. • Experience with Databricks, Unity Catalog, Vector Search, SQL Warehouses, semantic layers, or governed natural-language-to-SQL solutions. • Experience with Power Automate, UiPath, Tableau, Jira, Smartsheet, or comparable automation and delivery tools. • Experience with model and application evaluation, red teaming, responsible AI, AI security, GxP, computer-system validation, regulated technology environments, or relevant technical certifications. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

Job Description ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world's toughest diseases, and make people's lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what's known today. ABOUT THE ROLE The Senior Associate Software Engineer is a hands-on software engineering contributor within the Applied AI - AI Productivity and Custom GPT Solutions Practice. The role designs, develops, tests, deploys, and supports secure, scalable, intuitive, and reusable GenAI solutions, including LLM-powered assistants, agents, Custom GPTs, retrieval-augmented generation (RAG) applications, and associated AI capabilities on approved enterprise platforms. RESPONSIBILITIES GenAI Solution Delivery • Design, develop, test, and deploy LLM-powered assistants, agents, Custom GPTs, RAG solutions, APIs, and AI-enabled applications on ChatGPT Enterprise and other approved platforms. • Implement prompt and context strategies, structured outputs, embeddings, vector or hybrid retrieval, tool calling, workflow orchestration, and human-in-the-loop controls. • Build scalable RAG pipelines that ground responses in trusted enterprise data. • Contribute to the GenAI capability roadmap through implementation of MCP-based Apps, ChatGPT Skills, plugins, Workspace Agents, and reusable integration patterns. • Develop integration layers and event-driven workflows using APIs, RPA, n8n, and approved orchestration tools to connect systems and trigger agent workflows. • Develop reusable Python services, libraries, templates, and evaluation utilities, and contribute TypeScript, React, or Next.js components when required by the solution. Quality, Security, and Operations • Implement automated unit, integration evaluation, and end-to-end tests, along with tracing and monitoring for retrieval quality, response consistency and reliability. • Implement safeguards for prompt injection, data leakage, unauthorized retrieval, insecure tool execution, secrets exposure, excessive agency, and inappropriate model outputs. • Apply secure integration and identity patterns using API gateways, OAuth, service identities, delegated authorization, role-based access control, secrets management, least privilege, and user-level auditability. • Build and maintain CI/CD pipelines and approved cloud deployment configurations using AWS services, containers, serverless compute, or managed platform capabilities. • Troubleshoot defects across application, model, retrieval, data, integration, and infrastructure layers; support incident investigation, remediation, rollback, patching, and performance tuning. • Create and maintain technical designs, test evidence, runbooks, deployment instructions, and handover materials that support sustainable operations. Collaboration and Enablement • Partner with functional teams, product owners, architects, business SMEs, data engineers, platform teams, DevOps, cybersecurity, privacy, and responsible AI stakeholders to translate requirements into reliable solutions. • Participate in agile planning, backlog refinement, estimation, demonstrations, retrospectives, release activities, and technical design reviews. • Review code and technical designs, apply software engineering standards, and use AI-assisted development tools such as OpenAI Codex or GitHub Copilot with appropriate review, security, and quality controls. • Support office hours, technical enablement sessions, junior engineers, and knowledge-sharing through reusable examples, engineering patterns, and lessons learned. • Communicate delivery status, technical risks, dependencies, defects, and recommendations clearly to technical and non-technical stakeholders. REQUIRED SKILLS AND QUALIFICATIONS Basic Qualifications • Any degree and 5 to 9 years of relevant experience in Computer Science, Information Technology, Engineering, Data Science, or a related field Must-Have Skills • 4 or more years of professional experience in software development, application engineering, systems integration, or system design. • 2 or more years of hands-on experience building, deploying, or supporting production GenAI applications, assistants, agents, Custom GPTs, RAG solutions, or comparable AI-enabled software. • Strong hands-on proficiency in Python and experience developing, testing, debugging, and maintaining production applications, APIs, data services, or integration components. • Hands-on experience with prompt and context design, embeddings, vector databases or search, retrieval pipelines, structured outputs, tool integration, agent orchestration, evaluation, guardrails, and observability. • Experience designing and building cloud-native solutions, preferably on AWS, using services such as Amazon Bedrock, AWS Lambda, Amazon EKS or ECS, API Gateway, IAM, networking, monitoring, and event-driven integration. • Experience designing secure RESTful or GraphQL integrations using API gateways, OAuth, service identities, enterprise authentication, role-based access, secrets management, and least-privilege principles. • Experience with automated testing, source control, code review, Git-based workflows, CI/CD, and responsible use of AI-assisted software development tools. • Experience building modern web applications using TypeScript, React, Next.js, component-driven architecture, state management, design systems, and API integration. • Working knowledge of SQL, files, databases, and governed data-access patterns, with strong troubleshooting and analytical skills across application, model, data, integration, and infrastructure layers. Professional Skills • Strong verbal and written communication skills and the ability to produce clear technical documentation. • Ability to collaborate effectively with global, distributed, cross-functional teams using agile or scaled agile ways of working. • High degree of initiative, adaptability, ownership, and self-motivation while delivering high-quality outcomes with appropriate guidance. • Ability to manage multiple priorities, assess gaps and fit, communicate technical risks and tradeoffs, and support shared team outcomes. Preferred Qualifications • Experience with OpenAI APIs and SDKs, MCP servers and Apps, ChatGPT Skills, plugins, Workspace Agents, LangChain, LangGraph, n8n, or comparable agent technologies. • Experience with Amazon Bedrock and related agent capabilities, AWS Lambda, Amazon EKS or ECS, Amazon EC2, API Gateway, IAM, VPC networking, or event-driven services. • Experience with Databricks, Unity Catalog, Vector Search, SQL Warehouses, semantic layers, or governed natural-language-to-SQL solutions. • Experience with Power Automate, UiPath, Tableau, Jira, Smartsheet, or comparable automation and delivery tools. • Experience with model and application evaluation, red teaming, responsible AI, AI security, GxP, computer-system validation, regulated technology environments, or relevant technical certifications. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.