AI/ML Software Engineering Manager - Forward Deployed

Thomson Reuters

New York (NY)

Hybrid

USD 136,000 - 253,000

Full time

14 days+

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Benefits offered by this job

Hybrid work model
Flexible vacation (Flex My Way)
Mental Health Days off
Headspace access
Tuition reimbursement
Employee stock purchase plan
Volunteer days

Job summary

Thomson Reuters is seeking a Manager, Software Development Engineering for CoCounsel FDE. You will lead engineers embedded with customers, translating complex problems into scalable AI/ML solutions while balancing hands-on work with strategic leadership.

You will guide architecture, adopt emerging AI methodologies, and drive end-to-end delivery across multiple projects, including LLM-powered agents, with a focus on secure, reusable AI components and strong team growth.

Qualifications

  • 10+ years in software/solutions engineering with hands-on leadership.

Responsibilities

  • Lead and coordinate multiple cross-functional Forward Deployed Engineering projects.
  • Architect scalable, secure AI/software solutions across the lifecycle.
  • Drive innovation in AI methodologies and MLOps practices.
  • Manage talent: hiring, performance reviews, coaching, and career development.
  • Translate business needs into scalable AI solutions and guide product roadmap.
  • Own delivery across projects, removing impediments and guiding budgets.

Skills

Python development
AWS expertise
LLM/AI concepts
CI/CD pipelines
People management
Customer-facing collaboration

Education

Bachelor's degree in Computer Science or related

Tools

Bedrock AgentCore
CDK
EKS
ECR
Docker
Datadog

Job description

Thomson Reuters is seeking a Manager, Software Development Engineering for CoCounsel FDE. You will lead engineers embedded with customers, translating complex problems into scalable AI/ML solutions while balancing hands-on work with strategic leadership.

You will guide architecture, adopt emerging AI methodologies, and drive end-to-end delivery across multiple projects, including LLM-powered agents, with a focus on secure, reusable AI components and strong team growth.

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