Sr Associate Software Engineer - Applied AI

Amgen is a biotechnology company dedicated to serving patients living with serious illnesses. They are seeking a Senior Associate Software Engineer to join their Applied AI team, where the primary responsibility is to design, develop, and deploy secure, scalable, and intuitive AI agents and Custom GPTs on leading enterprise AI platforms.

Responsibilities:

• 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, LangChain/LangGraph, 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
• Work closely with functional teams, product owners, data engineers, platform and DevOps 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