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

Role Description:

Amgen is seeking a Sr Software Engineer - Full Stack to design, develop, and support modern AI-enabled web applications that power Insights and Field Intelligence capabilities.

This role focuses on building scalable, responsive, and intelligent full-stack applications using React, Next.js, Node.js, and cloud-native technologies while integrating AI/ML capabilities such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and intelligent workflow automation.

The ideal candidate combines strong front-end and back-end engineering expertise with hands-on experience integrating AI services and APIs into enterprise applications. The successful candidate should have a passion for modern application development, AI innovation, and building intelligent systems that improve business productivity and decision-making.

Roles & Responsibilities:

• Design, develop, and maintain scalable full-stack web applications using React.js, Next.js, Node.js, Typescript
• Build responsive, mobile-first, and user-centric interfaces that support enterprise Insights and Field Intelligence use cases.
• Develop reusable UI components, application frameworks, and shared libraries following modern front-end engineering best practices.
• Design and develop secure and scalable backend services, APIs, and microservices using Node.js and REST/GraphQL architectures.
• Implement server-side rendering (SSR), static site generation (SSG), and modern web optimization techniques using Next.js.
• Ensure application scalability, performance optimization, accessibility, and cross-browser compatibility.
• Design and develop AI-enabled applications leveraging Large Language Models (LLMs) such as OpenAI models and enterprise AI services.
• Develop Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge sources.
• Design and implement AI agent workflows and orchestration frameworks to automate business processes and insight generation.
• Integrate AI capabilities into enterprise web applications, APIs, and workflows for real-time intelligence and automation.
• Implement context management approaches such as Model Context Protocol (MCP) or similar AI orchestration frameworks.
• Evaluate and adopt emerging AI technologies, frameworks, and engineering best practices.
• Design, build, and maintain scalable APIs and backend integration services supporting enterprise and AI-driven applications.
• Develop integrations with enterprise platforms including CRM, analytics, and business intelligence systems.
• Build secure and reusable API services enabling AI-driven workflows and data access patterns.
• Implement monitoring, logging, observability, and error handling across APIs and application services.
• Leverage AWS cloud services to build scalable, resilient, and secure application platforms.
• Implement CI/CD pipelines and DevOps best practices for application deployment and lifecycle management.
• Support containerized application deployment using Docker and cloud-native deployment approaches.
• Optimize application performance, scalability, and operational reliability in cloud environments.
• Participate in agile ceremonies including sprint planning, backlog refinement, estimation, and retrospectives.
• Create and maintain technical documentation including architecture diagrams, API specifications, deployment procedures, and operational guides.

Basic Qualifications and Experience:

• Master's / Bachelor's degree with 5 - 8 years of experience in Computer Science, IT or related field

Functional Skills:

Must-Have Skills

• Strong hands-on experience developing full-stack applications using React.js, Next.js, Node.js, Typescript, Javascript
• Strong experience building scalable RESTful APIs and backend services
• Hands-on experience building Retrieval-Augmented Generation (RAG) pipelines and integrating vector databases.
• Understanding of AI agent architectures, orchestration frameworks, and context-aware AI systems.
• Experience integrating AI capabilities into web applications, APIs, and enterprise workflows.
• Experience with AWS cloud data platforms

Good-to-Have Skills:

• Experience with machine learning workflows (Databricks ML, or similar)
• Familiarity with Model Context Protocol (MCP) or similar AI context management approaches.
• Knowledge of real-time/streaming architectures
• Understanding of field analytics, CRM data models, or commercial insights use cases

Professional Certifications

• Certified AWS Professional or Associate certification (Required)
• OpenAI, Generative AI, or Cloud AI-related certification (Preferred)

Soft Skills:

• Excellent critical-thinking and problem-solving skills
• Strong communication and collaboration skills
• Demonstrated awareness of how to function in a team setting
• Demonstrated presentation skills

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.

We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.