Key skills
PythonAIMLGenAIRAGAgentic
About this role
Role Overview
- Design and implement agentic AI systems capable of multi‑step reasoning, tool use, and autonomous task execution.
- Architect enterprise‑grade GenAI solutions, including RAG pipelines, embedding strategies, orchestration layers, and evaluation frameworks.
- Lead PoCs and pilots and scale successful solutions into production‑ready capabilities.
- Establish reusable architectural patterns, reference implementations, and technical standards for GenAI and agentic systems.
- Integrate AI solutions with existing platforms, data sources, and workflows to support adoption.
- Mentor team developers and contribute to raising overall GenAI and agentic AI maturity.
- Embed governance, security, evaluation, and monitoring considerations into solution design and deployment.
Requirements
- Degree in Computer Science, Software Engineering, AI/ML, or equivalent applied experience required with 6+ years (Bachelor’s), 5+ years (Master’s), or 1+ year (PhD) of relevant experience.
- Significant hands‑on experience building production software and applied AI systems.
- Deep experience with GenAI, RAG architectures, and agentic workflow design.
- Strong programming skills (e.g., Python) and modern AI engineering practices.
- Experience operating in regulated or process‑heavy environments (preferred).
- Ability to communicate complex technical concepts clearly to non‑technical partners (preferred).
Tech Stack
- Python
Benefits
- 401(k) plan with Pfizer Matching Contributions
- Additional Pfizer Retirement Savings Contribution
- Paid vacation
- Holiday and personal days
- Paid caregiver/parental and medical leave
- Health benefits including medical, prescription drug, dental and vision coverage