Lead AI Engineer

Regeneron Pharmaceuticals, Inc.; Village of Tarrytown (NY); On-site; USD 170,000 - 230,000; Full time

Job summary

Regeneron is seeking an experienced Lead AI Engineer to serve as a technical leader within the AI Strategy & Execution organization. You will architect and deliver enterprise-scale AI capabilities spanning intelligent agents, LLM-powered applications, and AI platform services that accelerate drug discovery and clinical research.

You will lead a team of engineers, drive cross-functional collaboration, and maintain a hands-on role in Python development and AI systems design while communicating

Qualifications

• Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, AI or related field.
• 7–10 years of software and AI engineering experience, with at least 3 years in a technical lead role.
• Expert-level Python development and production REST APIs (FastAPI).

Responsibilities

• Lead end-to-end design, development, and deployment of enterprise AI applications and LLM-powered systems.
• Design and build AI Agents and autonomous systems using agentic frameworks.
• Develop and operate MCP servers for standardized integration between AI agents and enterprise data sources.
• Apply advanced LLM techniques - prompt engineering, fine-tuning, and retrieval-augmented generation.
• Architect and manage vector database solutions for semantic search and RAG pipelines.

Skills

Python programming

Leadership experience

Education

Bachelor's degree in Computer Science or related field

Master's or PhD preferred

Tools

LangChain

LangGraph

Strands

CrewAI

Milvus DB

FastAPI

SageMaker

Kubernetes

REST APIs

Job description

Job Title: Lead AI Engineer

Department: Digital Transformation - AI Strategy & Execution

Location: Sleepy Hollow, New York

Employment Type: Full-Time

Experience Required: 7-10 Years

About Regeneron

Regeneron is a leading biotechnology company headquartered in Tarrytown, New York, renowned for its innovative research and development of life-changing therapies. With a strong focus on ophthalmology, oncology, inflammation, cardiovascular diseases, and infectious diseases, Regeneron has brought groundbreaking medicines to market - including EYLEA® and the REGEN-COV™ monoclonal antibody cocktail. Our commitment to scientific excellence, cutting-edge technology, and patient impact has positioned Regeneron as a global leader in biotechnology.

Position Overview

Regeneron is seeking an experienced Lead AI Engineer to serve as a technical leader within the AI Strategy & Execution organization. In this role, you will architect and deliver enterprise-scale AI capabilities - spanning intelligent agents, LLM-powered applications, and AI platform services - that accelerate drug discovery, clinical research, and enterprise productivity. You will lead a team of engineers, drive cross-functional collaboration, and communicate AI strategy to senior stakeholders, all while maintaining a strong hands-on presence in Python development and AI systems design.

Key Responsibilities

AI Engineering & Intelligent Systems

• Lead end-to-end design, development, and deployment of enterprise AI applications and LLM-powered systems, ensuring production-grade quality, security, and scalability.
• Design and build AI Agents and autonomous systems using agentic frameworks including LangChain, LangGraph, Strands, and CrewAI, applying ReAct, tool-use, planning, and memory management patterns.
• Develop and operate MCP (Model Context Protocol) servers for standardized, secure integration between AI agents and enterprise data sources.
• Apply advanced LLM techniques - prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) - to build intelligent, context-aware applications.
• Architect and manage vector database solutions (Milvus DB preferred) supporting semantic search, knowledge retrieval, and RAG pipelines.
• Architect RESTful APIs that expose AI capabilities to internal platforms and downstream business applications.

LLM & AI Platform Management

• Administer and continuously evolve the enterprise LLM and AI Gateway platform, including model routing, access controls, rate limiting, usage observability, and multi-model orchestration.
• Evaluate and onboard new foundation models (OpenAI, Anthropic, AWS Bedrock, and others) in alignment with enterprise security and compliance standards.

Technical Leadership & Team Management

• Lead, mentor, and manage a team of AI engineers, conducting code reviews, setting technical standards, and fostering a culture of engineering excellence.
• Contribute to the organization's AI roadmap through architectural design reviews, technical strategy, and proof-of-concept development.
• Troubleshoot complex issues across AI model serving, APIs, and platform layers.

Cross-Functional Collaboration & Stakeholder Engagement

• Partner with business units, data scientists, and clinical research teams to identify AI opportunities and translate them into scalable technical solutions.
• Serve as the primary technical point of contact for enterprise AI platform discussions, presenting findings and recommendations to senior leadership.
• Engage with external vendors, cloud providers, and AI research organizations to evaluate and integrate emerging capabilities.

Requirements & Qualifications

Education

• Bachelor's, Master's, or Ph.D. in Computer Science, Computer Engineering, Artificial Intelligence or a related technical field.

Experience

• 7-10 years of progressive software and AI engineering experience, with at least 3 years in a technical lead or senior individual contributor role.
• Expert-level Python development skills, including production REST API development with FastAPI.
• Proven hands-on experience building AI Agents, MCP Servers, and LLM-powered applications using frameworks such as LangChain, LangGraph, Strands, or CrewAI.
• Hands-on experience with vector databases (Milvus DB preferred) for RAG and semantic search pipelines.
• Experience administering LLM API gateway platforms, including model routing, observability, access governance, and multi-model orchestration.
• Experience with foundation models from OpenAI, Anthropic, AWS Bedrock, and other major providers.
• Working knowledge of AWS cloud services relevant to AI workloads (SageMaker, Bedrock, EKS, Lambda, S3); Kubernetes and CI/CD experience is a plus.
• Experience in the biotechnology, pharmaceutical, or healthcare industry preferred.

Technical Competencies

• Programming: Python (expert-level).
• AI Frameworks & Runtimes: LangChain, LangGraph, Strands, CrewAI; AWS Bedrock AgentCore.
• LLM Techniques: Prompt engineering, fine-tuning, RAG, vector databases (Milvus DB preferred).
• AI Platf