Principal Software Engineer – AI, CoCounsel FDE

Thomson Reuters

. Lead highly complex technical and customer engagements from discovery through production delivery .

Posted 9/21/2026full-timeUnited StatesLead💰 $158,900 - $295,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in architecting and delivering complex AI solutions, with a strong focus on production code quality and technical leadership. Capable of translating customer needs into scalable product capabilities while providing mentorship and guidance to engineering teams.

Highest-signal resume keywords

AI/ML Solutions ArchitectureProduction Code DevelopmentTechnical LeadershipDistributed Systems UnderstandingCustomer Engagement Management

ATS Keywords

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Hard Skills

Software EngineeringAI Solutions DeliveryProduction Software Systems DesignCode ReviewSystem IntegrationCloud ArchitectureAPIsScalabilityReliabilityGenerative AI

Soft Skills

Excellent CommunicationMentorshipTechnical DirectionJudgment in ArchitectureInfluencing Strategy

Industry Keywords

Legal TechnologyFinancial ServicesProfessional ServicesRegulated EnvironmentsSecurity RequirementsPrivacy GovernanceFiduciary-Grade Requirements

Tech Stack

Tools & technologies

CloudDistributed Systems

About the role

Key responsibilities & impact

Lead highly complex technical and customer engagements from discovery through production delivery
Architect, build, and deploy production AI solutions within customer and enterprise environments
Write production code regularly and review work of Senior, Staff, and Forward Deployed Engineers
Provide technical direction across complex AI, software architecture, integration, security, and deployment decisions
Work directly with customers to understand their technical environments, constraints, and business needs
Partner with Product and Engineering to translate customer learnings into scalable product capabilities
Identify patterns across client engagements and recommend improvements to the core CoCounsel platform
Guide engineers through complex technical challenges through hands-on development, architecture reviews, mentoring, and technical leadership
Influence technical strategy across Forward Deployed Engineering and related product and engineering teams
Evaluate technologies and approaches that improve AI delivery, reliability, scalability, and customer outcomes
Communicate complex technical decisions to engineering teams, product leaders, executives, and customer stakeholders
Serve as a senior technical representative for Thomson Reuters in high-impact customer engagements

Requirements

What you’ll need

12+ years of software engineering experience, including significant technical leadership at the Principal, Architect, or highest individual-contributor level
Deep experience designing and delivering complex production software systems
Strong hands-on software engineering skills with recent experience personally writing and reviewing production code
Significant experience with AI/ML, Generative AI, or LLM-powered systems in production environments
Experience architecting and delivering AI solutions that integrate with enterprise or customer-owned infrastructure
Strong understanding of distributed systems, APIs, system integration, cloud architecture, scalability, reliability, and production operations
Demonstrated experience leading highly complex technical initiatives or customer engagements end-to-end
Ability to translate customer-specific technical work into reusable, scalable product capabilities
Experience providing technical guidance and mentorship to Senior and Staff-level engineers
Strong judgment around architecture, technical tradeoffs, security, reliability, and production deployment
Excellent communication skills with engineers, product teams, executives, and customer stakeholders
Preferred: experience building or deploying LLM, agentic AI, RAG/retrieval, or other Generative AI systems in production
Preferred: experience in Forward Deployed Engineering, customer engineering, solutions engineering, or another deeply technical customer-facing engineering environment
Preferred: experience working with enterprise customers and complex customer-owned infrastructure
Preferred: experience in legal technology, financial services, professional services, or other highly regulated environments
Preferred: familiarity with security, privacy, governance, or fiduciary-grade requirements associated with enterprise AI deployments
Preferred: technical presence through open-source contributions, technical publications, conference presentations, patents, industry leadership, or equivalent technical recognition
Preferred: experience influencing product strategy based on direct customer and field experience

Benefits

Comp & perks

Flexible hybrid working environment
Work from anywhere for up to 8 weeks per year
Flexible vacation
Two company-wide Mental Health Days off
Headspace app access
Retirement savings
Tuition reimbursement
Employee incentive programs
Mental, physical, and financial wellbeing resources
Two paid volunteer days off annually
Pro-bono consulting project opportunities
Environmental, Social, and Governance (ESG) initiative opportunities
Health, dental, vision, disability, and life insurance programs
Competitive 401k plan with company match
Competitive vacation, sick and safe paid time off
Paid holidays, including two company mental health days off
Parental leave
Sabbatical leave
Optional hospital, accident and sickness insurance
Optional life and AD&D insurance
Flexible Spending and Health Savings Accounts
Fitness reimbursement
Employee Assistance Program
Group Legal Identity Theft Protection benefit
529 Plan access
Commuter benefits
Adoption & Surrogacy Assistance
Employee Stock Purchase Plan
Annual Bonus based on enterprise and individual performance