8+ years software engineering or ml infrastructure
Python programming and api driven architecture
Amgen harnesses biology and technology to fight the world's toughest diseases through innovative medicines
Job Summary
Amgen harnesses biology and technology to fight the world's toughest diseases through innovative medicines.
The role involves leading the architecture and development of a core AI platform capability that enables researchers to build and deploy advanced ML and Generative AI systems at scale.
Candidates must possess deep ML systems expertise combined with strong technical leadership to guide a small engineering team in delivering production-ready AI solutions.
Matching Summary
Amgen harnesses biology and technology to fight the world's toughest diseases through innovative medicines.
Skills & Requirements
Must-have
12 to 17 years total experience
8+ years software engineering or ML infrastructure
Python programming and API Driven Architecture
MLOps frameworks like MLflow and Databricks
Scalable distributed systems and cloud-native architectures
Production deployment of machine learning models
Nice-to-have
Experience with LLMs and Generative AI infrastructure
Understanding of Agentic AI systems and orchestration
Familiarity with RAG and vector databases
Hands-on experience fine-tuning foundation models
Strong technical leadership and mentoring ability
Bias toward execution and ownership mindset
Key Requirements
Bachelor's degree in Computer Science, Engineering, or related field
12 to 17 years of total professional experience
8+ years in software engineering, ML engineering, or ML infrastructure
Advanced degree (Masters) preferred in CS, AI/ML, or Data Science