Thomson Reuters
Engineering Manager, AI
$118K–$220K
United States of America, Eagan, Minnesota +2 · Hybrid · Manager · Full-time · Posted Oct 19, 2026
- Location
- United States of America, Eagan, Minnesota
United States of America, Frisco, Texas
Canada, Toronto, Ontario - Experience
- 8+ years of hands-on software engineering experience, including 3+ years managing engineering teams.
- Education
- Bachelor's degree in computer science, engineering, or a related discipline, or equivalent practical experience.
About the job
Leads a hands-on engineering team building and operating full-stack, AI-enabled legal research products and retrieval services for Westlaw.
What you'll do
- Hire, manage, coach, and develop engineers while fostering technical ownership and continuous learning.
- Guide architecture and delivery of scalable interfaces, backend services, REST APIs, and AWS cloud-native solutions.
- Lead production use of LLMs and AI agents, including development practices, evaluation, security, and reliability.
What they ask for
- 8+ years of hands-on full-stack software engineering experience and 3+ years managing engineering teams.
- Production-grade full-stack delivery experience, including secure coding, reliability, and hands-on technical leadership.
- Strong proficiency in Python and RESTful API design; working proficiency in React or a similar UI framework, TypeScript, and Node.js.
- Strong AWS knowledge and experience with DevOps, CI/CD, and infrastructure as code.
Nice to have
- Experience shipping production AI-driven or agentic systems, including RAG, information retrieval, agent frameworks, or tool protocols.
- Experience with agent evaluation, Python frameworks such as Django, Flask, or FastAPI, or legal or regulated domains.
Pay
$118,400 USD - $219,800 USD (base salary); $140,600 CAD - $190,600 CAD (base salary)
Tools
Python, RESTful APIs, React, Angular, Vue, TypeScript, Node.js, AWS
AI focus
Builds agentic legal research experiences and retrieval services; leads production LLM/RAG integration and AI-agent development, evaluation, and AI-assisted engineering practices.
Model-written summary · the original posting is authoritative