Sr Associate Software Engineer - Applied AI

Join Amgen’s Mission of Serving Patients

At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.

Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions.

As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Sr Associate Software Engineer – Applied AI

Let’s do this. Let’s change the world. In this vital role you will join a fun, innovative Applied AI team within the AI & Data Science (AI&D) organization at Amgen.

As a Sr Associate Software Engineer, you will be an integral member of the Applied AI – AI Productivity/Custom GPT Solutions Practice team, which empowers Amgen teams and staff members to build high‑value, purpose‑driven, LLM-powered AI Assistants and/or Custom GPTs through expert design and development support. You will play a key role in driving adoption of this program across multiple Amgen organizations by partnering with cross‑functional teams and senior leaders.

This role requires strong technical depth, adaptability, and the ability to operate effectively in a fast‑evolving environment.

The primary responsibility of this role is to design, develop, and deploy secure, scalable, and intuitive AI agents, Custom GPTs and associated AI capabilities on leading enterprise AI platforms and tools.

Responsibilities:

GenAI/AI Delivery:

• Design, develop, and deploy LLM-powered Agents and/or Custom GPTs on ChatGPT Enterprise platform that leverage RAG pipelines, Apps integration and prompt engineering.
• Contribute to the capability Roadmap through implementation of MCP-based Apps, ChatGPT Skills, Plugins and Workspace Agents.
• Implement scalable RAG pipelines that ground assistant responses in trusted enterprise data.
• Build integration layers and event-driven orchestrations using N8N (webhooks, nodes, APIs) to connect systems, trigger agent workflows, and implement human‑in‑the‑loop steps.
• Evaluate emerging AI models, enterprise platforms, agent frameworks, retrieval technologies, and orchestration patterns, including OpenAI, Databricks, Lang Chain/Lang Graph, and AWS AI services.
• Ensure compliance with data privacy, security, and regulatory standards of the company.
• Implement automated evaluation, regression testing, tracing, and monitoring to assess retrieval quality, context, response quality, safety, latency, and cost.
• Apply relevant advancements in generative AI, agentic systems, retrieval, evaluation, and AI software engineering to continuously improve solution quality and delivery practices.

Collaboration & Enablement:

• Work closely with functional teams, product owners, data engineers, platform and Dev Ops teams, and business SMEs to translate requirements into reliable, production‑grade solutions.
• Produce clear technical design documents, runbooks, and handover materials to support operational sustainability.
• Support office hours and other technical enablement sessions.
• Support junior engineers and contribute towards technical guidance, reusable patterns, and engineering best practices for GenAI adoption

We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a person with these qualifications.

Basic Qualifications

• Master’s degree with 4+ years of experience in Computer Science, IT, or a related field,
  OR
• Bachelor’s degree with 6+…