Engineering Manager, AI/ML Solutions – Forward-Deployed

Thomson Reuters

Eagan (MN)

Hybrid

USD 118,400 - 219,800

Full time

14 days+

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Benefits offered by this job

Hybrid work
Flexibility
Career development
Competitive benefits
Mental health days

Job summary

Thomson Reuters is seeking a Manager, Software Development Engineering for CoCounsel FDE to lead engineers embedded with customers, translating ambiguous problems into scalable AI/ML solutions across the lifecycle.

You'll guide architecture, drive MLOps practices, hire and coach engineers, and partner with Product, Project Management, and Technical Operations to deliver high-impact AI components and a reusable framework.

Qualifications

  • 10+ years in software/solutions engineering with 2+ years in people management.
  • Experience leading forward‑deployed/solutions engineering teams.
  • Proven customer‑facing experience and ability to translate requirements to tech.
  • Strong Python and AWS experience, including Bedrock AgentCore and CDK.
  • Experience deploying LLM‑powered agents and production observability.

Responsibilities

  • Lead cross-functional Forward Deployed Engineering project teams.
  • Architect scalable, secure AI/software solutions across the lifecycle.
  • Drive AI/ML innovation, ML Ops practices, testing and monitoring.
  • Manage and develop engineering talent.
  • Own technical delivery across multiple projects and budgets where applicable.
  • Collaborate with Product, Project Management, and Technical Operations.

Skills

Python development
AWS
CI/CD
Docker
LLM/AI
Leadership
Customer-facing
SQL

Tools

Bedrock AgentCore
CDK
EKS
ECR
Datadog

Job description

Thomson Reuters is seeking a Manager, Software Development Engineering for CoCounsel FDE to lead engineers embedded with customers, translating ambiguous problems into scalable AI/ML solutions across the lifecycle.

You'll guide architecture, drive MLOps practices, hire and coach engineers, and partner with Product, Project Management, and Technical Operations to deliver high-impact AI components and a reusable framework.

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