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 Summary
Principal-level AIML Engineer responsible for designing and deploying advanced AI/ML systems with a strong focus on Reinforcement Learning (RL) and decision intelligence. Will act as a technical leader driving scalable AI solutions from research to production across enterprise platforms.
Key Responsibilities
- Design and develop Reinforcement Learning models (RL, RLHF, multi-agent RL) for real-world decision-making problems
- Build and deploy scalable ML pipelines and production AI systems using MLOps best practices
- Architect end-to-end AI systems integrating RL with GenAI, LLMs, or agent-based frameworks
- Lead development of agent-based / multi-agent AI systems for planning, reasoning, and automation
- Translate research concepts into production-grade, reliable ML systems
- Partner with data scientists, engineers, and product teams to deliver enterprise AI solutions
- Evaluate new AI techniques (RLHF, agentic systems, deep RL) and drive adoption
- Mentor engineers and provide technical leadership and architectural guidance
Must-Have Skills
- Strong expertise in Reinforcement Learning (Deep RL, Policy Optimization, RLHF)
- Hands-on experience building production AI/ML systems at scale
- Solid programming in Python
- Experience with MLOps (MLflow, Kubeflow, SageMaker, etc.)
- Knowledge of Distributed Systems & Cloud (AWS/Azure/GCP)
- Experience in model deployment, monitoring, and lifecycle management
- Strong understandin