Lead AI Engineer

Regeneron

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Tarrytown, NYSleepy Hollow, NY
Salary
$109,900–$179,300 / yr
Posted
18 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $209k
This role $145k
$94k most similar roles pay here $262k

This role pays less than 89% of similar roles. Most pay $171,187–$246,150 — the shaded band above. At the midpoint, this role pays about $145k versus about $209k for comparable roles.

Based on 240 similar postings.

Employer

About Regeneron

Regeneron is a leading science-driven biotechnology company that invents, develops, and commercializes life-transforming medicines for serious diseases.

Regeneron currently has 18 open roles on FindRole.

Listed pay typically runs $141,100–$243,350 across 18 roles with salary data.

Most-posted roles

View all roles at Regeneron

At a glance

TL;DR · Lead AI Engineer

Lead AI Engineer serves as a technical leader within the Digital Transformation department, where you will architect and deliver enterprise-scale AI capabilities to accelerate drug discovery, clinical research, and corporate productivity. You will lead a team of engineers to build intelligent agents, LLM-powered applications, and platform services while maintaining a hands-on presence in Python development. Key responsibilities include designing agentic frameworks using LangChain, LangGraph, Strands, and CrewAI, managing vector databases like Milvus DB for RAG pipelines, and administering an AI Gateway for model routing and orchestration. You will utilize tools such as FastAPI, TensorFlow, PyTorch, and AWS services including Bedrock and SageMaker. The role focuses on solving complex technical challenges in the biotechnology and pharmaceutical sectors by integrating foundation models from OpenAI and Anthropic into secure, production-grade systems.

What you'll do

  • Design and deploy enterprise-scale AI applications and LLM-powered systems with production-grade quality and security.
  • Build autonomous AI agents using frameworks like LangChain, LangGraph, or CrewAI to automate complex workflows.
  • Develop and manage vector database solutions to support RAG pipelines and semantic search capabilities.
  • Administer the enterprise LLM gateway platform, including model routing, access controls, and usage observability.
  • Lead, mentor, and manage a team of AI engineers while conducting code reviews and setting technical standards.
  • Architect RESTful APIs using FastAPI to expose AI capabilities to internal platforms and business applications.
  • Translate business requirements from cross-functional teams into scalable technical solutions for drug discovery and research.
  • Evaluate and integrate new foundation models from providers like OpenAI, Anthropic, and AWS Bedrock.

What we're looking for

  • Bachelor's, Master's, or Ph.D. in Computer Science, Computer Engineering, Artificial Intelligence, or a related technical field.
  • 7–10 years of progressive software and AI engineering experience, including at least 3 years as a technical lead or senior individual contributor.
  • Expert-level Python development skills, including production REST API development with FastAPI.
  • Proven experience building AI Agents, MCP Servers, and LLM applications using frameworks like LangChain, LangGraph, Strands, or CrewAI.
  • Experience managing vector databases (Milvus DB preferred) for RAG and semantic search pipelines.
  • Experience administering LLM API gateway platforms including model routing, observability, and multi-model orchestration.
  • Working knowledge of AWS cloud services (SageMaker, Bedrock, EKS, Lambda, S3).
  • AWS Certified Machine Learning – Specialty certification required.

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