Specialist Software Engineer (Full Stack)

Amgen; India; On-site; INR 2,500,000 - 5,000,000; Full time

Job summary

Amgen is seeking a Senior Full-Stack Software Engineer to join the AI Studio team. You will own a small AI product or substantial workstream from problem framing through deployment and adoption, collaborating with cross-functional partners to deliver scalable AI solutions across the enterprise.

The role spans discovery, rapid prototyping to production deployment with measurable business impact, requiring strong full-stack engineering skills and a focus on responsible AI and security.

Qualifications

• Bachelor's or Master’s degree in Computer Science, IT or related field.
• 8–13 years of experience in Computer Science, IT or related field.
• Experience in end-to-end full-stack engineering and AI-enabled applications.

Responsibilities

• Define user workflows, acceptance criteria, accessibility needs and value hypothesis.
• Map data dependencies and decide between software, automation, ML, GenAI, RAG or manual approaches.
• Lead sprint and release planning with MVPs and phased roadmaps.
• Own production architecture across frontend, API gateway, backend services, data flows and security.
• Lead frontend and backend delivery using JavaScript/TypeScript, Python, Node.js, Java or C# with robust contracts and resilience.
• Integrate model services, LLMs, RAG, search, agents, BI and deterministic automation with proper data governance.
• Establish CI/CD, infrastructure as code, SLOs, telemetry, rollback, incident response and disaster recovery.
• Coordinate governance and create reusable components and playbooks, mentor engineers and improve delivery.

Skills

JavaScript/TypeScript

Python

Node.js

Java

C#

Frontend architecture

Backend services

Education

Bachelor's/Master's degree in CS/IT

Job description

Career Category

Information Systems

Job Description

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. Y ou 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.

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 regul