Thomson Reuters
Staff Software Engineer - AI I
$127K–$273K
United States of America, Eagan, Minnesota +4 · Hybrid · Staff · Full-time · Posted Oct 15, 2026
- Location
- United States of America, Eagan, Minnesota
United States of America, Frisco, Texas
United States of America, New York, New York
Canada, Toronto, Ontario
United States of America, Ann Arbor, Michigan - Experience
- 5+ years of software engineering experience, including 3 years in senior or lead roles on AI/ML systems.
- Education
- Bachelor’s degree in Computer Science, Engineering, or equivalent experience (Master’s preferred).
About the job
Build and lead the AI foundation and production systems powering intelligent legal research experiences for Westlaw.
What you'll do
- Architect and implement enterprise-scale AI systems, including RAG pipelines, knowledge graph architectures, and autonomous agents.
- Set technical direction, mentor engineers, and champion MLOps, LLMOps, governance, and operational quality.
- Collaborate across AI, engineering, product, and design to deliver customer-facing AI applications and measurable business value.
What they ask for
- Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
- 5+ years of software engineering experience, including 3 years in senior or lead roles on AI/ML systems.
- Hands-on generative AI, RAG, or LLM systems experience across discovery, architecture, evaluation, deployment, and metrics; expert Python or another object-oriented language.
- Advanced AWS, Docker, Kubernetes, and Terraform experience, plus strong backend/API design and production AI integration skills.
Nice to have
- Master’s degree; experience leading agent-based systems or enterprise integrations with AI APIs.
- Advanced vector search or knowledge graph experience; regulated-industry or large-scale search expertise; AI governance or successful enterprise AI launches.
Pay
$146,800 USD - $272,600 USD (base salary); $127,400 USD - $236,600 USD (base salary); $140,000 CAD - $175,000 CAD (base salary)
Tools
Python, PyTorch, TensorFlow, AWS, Docker, Kubernetes, Terraform, Neo4j
AI focus
Build AI foundations and legal research solutions using generative AI, RAG, agentic systems, knowledge graphs, and large-scale knowledge services; evaluate, deploy, monitor, and govern production AI systems.
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