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Manager, Software Development Engineering, CoCounsel FDE

Thomson Reuters
Toronto, CAN
Full-time
Mid-Senior
Hybrid
CAD 140,600–190,600
Discovered Today
Software and solutions engineeringPeople management and team leadershipForward Deployed EngineeringAI/ML system architecturePythonAWS

Full Job Posting

Role overview

Lead CoCounsel Forward Deployed Engineering teams delivering customer-facing AI-powered solutions for the legal industry.

Combine technical guidance and people management to turn real-world customer problems into scalable, secure, reusable AI/ML solutions.

Responsibilities

  • Lead cross-functional project teams and guide scalable, secure AI/software architecture and delivery.
  • Influence AI methodologies, MLOps and LLMOps practices, platform testing, monitoring, and debugging.
  • Hire, manage, coach, and mentor engineers; develop team performance and structure.
  • Translate business needs into reusable AI frameworks and coordinate with project teams, partners, and stakeholders.
  • Own delivery across projects, remove impediments, guide project leads, and manage budgets where applicable.
  • Collaborate with Product, Project Management, and Technical Operations; carry customer feedback into the product roadmap.

Candidate qualifications

  • 10+ years in software or solutions engineering and 2+ years in people management or team leadership; the role remains hands-on.
  • Experience leading forward-deployed, field, or solutions engineers, including hiring, performance, career development, and team structure.
  • Customer-facing discovery, architecture presentations, technical decision-making, and stakeholder relationship experience.
  • Track record building and demonstrating rapid proofs of concept and pilots, then creating repeatable delivery patterns.

Technical qualifications

  • Strong Python and hands-on AWS expertise, including Bedrock AgentCore, CDK, EKS, and ECR.
  • Experience owning CI/CD pipelines, Docker, SQL/Flyway migrations, and Cumulus or a similar enterprise deployment platform.
  • Direct LLM-agent delivery experience, including solution design, implementation, integrations, security guardrails, evaluation, quality testing, observability, and infrastructure.
  • Legal industry or legal technology familiarity is a strong plus.

Workplace

  • The employer describes a flexible hybrid working environment for office-based roles, with work-from-anywhere flexibility for up to eight weeks per year.

Compensation

  • Ontario base compensation range is CAD 140,600–190,600; no compensation cadence is specified. The role may also be eligible for an annual bonus.

Recruitment process

  • The posting may be used for current openings or future vacancies. The employer uses AI to support recruitment assessment, with human review of decisions.

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