Staff AI Engineer: RAG, Agents & Knowledge Graphs

Thomson Reuters Corp.

Eagan (MN)

Hybrid

USD 127,000 - 237,000

Full time

3 days ago
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Benefits offered by this job

Hybrid Work Model
Flexible vacation
Mental Health Days
Tuition Reimbursement

Job summary

Thomson Reuters Corp. is seeking an AI Staff Engineer to help shape Westlaw's AI foundation. You will architect AI-driven systems, lead multi-component pipelines, and mentor engineers while ensuring secure, scalable production deployments across legal research platforms.

You will collaborate with AI researchers, engineering leadership, design, and product teams to convert AI capabilities into customer-facing features. A strong track record in leadership and hands-on AI development is essential.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
  • 5+ years of software engineering experience, including senior/lead AI/ML roles.
  • Hands-on experience with generative AI, RAG, or LLM-based systems.
  • Proficiency in Python or another OO language; API design skills.
  • Solid ML principles, evaluation methods, and distributed systems knowledge.
  • Experience with AI frameworks (PyTorch, TensorFlow) and cloud/Kubernetes tooling.
  • Strong technical leadership and mentoring abilities; governance for AI model lifecycle.

Responsibilities

  • Design and lead enterprise-scale AI systems and pipelines.
  • Drive adoption of advanced AI techniques with roadmaps and PoCs.
  • Provide technical leadership and mentor engineers across teams.
  • Ensure quality, security, and operational excellence for AI solutions.
  • Partner with researchers, design, and product to deliver customer-facing AI apps.

Skills

Python
API design
ML principles
Distributed systems
AWS
Docker
Kubernetes
Terraform
Leadership
LLM/AI systems

Education

Bachelor's degree in CS or related
Master's preferred

Tools

PyTorch
TensorFlow
Neo4j
Amazon Neptune
Docker
Kubernetes
Terraform

Job description

Thomson Reuters Corp. is seeking an AI Staff Engineer to help shape Westlaw's AI foundation. You will architect AI-driven systems, lead multi-component pipelines, and mentor engineers while ensuring secure, scalable production deployments across legal research platforms.

You will collaborate with AI researchers, engineering leadership, design, and product teams to convert AI capabilities into customer-facing features. A strong track record in leadership and hands-on AI development is essential.

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