Thomson Reuters
Lead Software Engineer, AI
$127K–$237K
United States of America, Eagan, Minnesota +2 · Hybrid · Full-time · Posted Sep 28, 2026
- Location
- United States of America, Eagan, Minnesota
United States of America, Frisco, Texas
United States of America, Ann Arbor, Michigan - Experience
- 8+ years of software engineering experience, including at least 4 years in senior or lead roles focused on AI/ML.
- Education
- Bachelor's degree in Computer Science, Engineering, or equivalent experience; Master's degree preferred.
About the job
Lead development of full-stack AI systems, including RAG architectures and autonomous agents, for Thomson Reuters’ CLEAR investigative platform and professional products.
What you'll do
- Architect and lead enterprise AI systems, pipelines, agents, APIs, microservices, and web interfaces.
- Set technical strategy, make architecture decisions, mentor engineers, and guide AI/ML and model lifecycle practices.
- Establish testing, monitoring, security, governance, and cross-functional delivery of AI products.
What they ask for
- Bachelor's degree in Computer Science, Engineering, or equivalent experience.
- 8+ years of software engineering experience, including at least 4 years in senior or lead AI/ML roles.
- Software engineering experience with Generative AI, RAG, or LLMs, including architecture, deployment, evaluation, and lifecycle.
- Strong backend and API skills; advanced AWS and orchestration experience, and expertise in object-oriented programming, AI/ML frameworks, and distributed systems.
Nice to have
- Master's degree.
- Experience in legal, tax, accounting, or regulated industries; publications, patents, or AI/ML speaking experience.
Pay
$127,400 USD - $236,600 USD (base compensation)
Tools
RAG, PyTorch, TensorFlow, JAX, AWS, Docker, Kubernetes, Terraform
AI focus
Build and lead enterprise AI systems, including generative AI, RAG, autonomous agents and multi-step reasoning; oversee AI evaluation, deployment, lifecycle governance, MLOps/LLMOps, and production integration.
Model-written summary · the original posting is authoritative