Hybrid AI Legal SDE Manager, Forward Deployed

Thomson Reuters; New York (NY); Hybrid; USD 136,000 - 253,000; Full time

Benefits offered by this job

Hybrid Work Model

Flexible vacation

Mental Health Days

Tuition reimbursement

Employee Stock Purchase Plan

Job summary

Thomson Reuters is seeking a Manager, Software Development Engineering for CoCounsel FDE to lead engineers embedded with customers and translate complex problems into scalable AI/ML solutions.

You will balance hands-on coding with people leadership, guide architecture and deployment of AI components, and drive adoption of enterprise ML platforms while delivering secure, reusable software across client engagements.

Qualifications

• 10+ years in software/solutions engineering, incl. 2+ years in people management, while staying hands-on.
• Led forward-deployed/solutions engineers with hiring, performance reviews, and career development.
• Proven customer-facing experience: discovery sessions, architecture presentations, stakeholder trust.
• Track record of building rapid POCs/pilots from ambiguous requirements.
• Strong Python, AWS (Bedrock AgentCore, CDK, EKS, ECR) and CI/CD ownership.

Responsibilities

• Lead multiple FDE project teams across cross-functional groups.
• Architect scalable, secure AI/software solutions for end-to-end AI/ML development.
• Evaluate emerging AI methods and influence MLOps/LMMOps practices.
• Hire, mentor, and coach engineers; foster high-performance culture.
• Translate business needs into AI solutions; coordinate with teams and stakeholders.
• Own technical delivery across projects, removing impediments and managing budgets.
• Collaborate with Product, Project Management, and Technical Operations to deliver prioritized outcomes.

Skills

Python development

AWS

Leadership

Customer-facing

LLM/AI

CI/CD

Architecture

Datadog

Tools

Bedrock AgentCore

CDK

EKS

ECR

Docker

Job description

Thomson Reuters is seeking a Manager, Software Development Engineering for CoCounsel FDE to lead engineers embedded with customers and translate complex problems into scalable AI/ML solutions.

You will balance hands-on coding with people leadership, guide architecture and deployment of AI components, and drive adoption of enterprise ML platforms while delivering secure, reusable software across client engagements.