Director, Engineering, AI

Thomson Reuters

. Lead a high-performing global organization of engineering managers, senior engineers, and vendor partners .

Posted 10/20/2026full-timeUnited StatesLead💰 $158,900 - $295,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading AI solution development and managing high-performing engineering teams, with a strong focus on cloud-native architecture, AI-assisted development practices, and strategic project delivery. Proficient in utilizing AI tools and engineering data to drive decision-making and optimize performance metrics.

Highest-signal resume keywords

AI Solution DevelopmentCloud-Native Architecture on AWSCI/CD and Infrastructure as CodeLeadership of Engineering TeamsVendor Management and Negotiation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentAI-Assisted DevelopmentLarge-Scale RolloutsLLM-Based ApplicationsPrompt and Context DesignDORA Metrics AnalysisToken Usage and Cost OptimizationAgent FrameworksRESTful API DesignHigh-Availability Systems

Soft Skills

Excellent Communication SkillsCoaching and MentoringStakeholder EngagementTeam EmpowermentAdaptability to Change

Tools & Technologies

GitHub CopilotCursorClaude CodeModel Context Protocol (MCP)AI Coding Tools

Certifications & Qualifications

AWS Solutions ArchitectAWS DevOps Engineer

Industry Keywords

AI Engineering StrategyMission-Based TeamsAgile EnvironmentVendor-Managed TeamsAI GovernanceFinOpsContent-Rich Domains

Tech Stack

Tools & technologies

AWSCloudPython

About the role

Key responsibilities & impact

Lead a high-performing global organization of engineering managers, senior engineers, and vendor partners
Own the multi-year AI engineering strategy and align it with the product delivery roadmap
Move the organization to mission-based teams with clear ownership and accountability
Drive AI-assisted, agent-driven development and use engineering data to guide decisions
Set expectations, coach managers and engineers, and lead by example using AI tools and engineering data
Work directly with senior engineers on architecture, technical direction, and complex technical problems
Implement engineering strategy as a living plan with milestones, owners, and measures
Define team missions, scope, decision rights, skills, and authority
Set and review measures for reliability, quality, delivery speed, adoption, and cost
Manage vendor relationships, integrate vendor-managed teams, and oversee scope, outcomes, service levels, governance, quality, security, and delivery
Decide what work to perform in-house, with partners, or through vendors
Communicate organizational value and strategy to stakeholders and peers
Deliver strategic projects with urgency in partnership with Product Management, UX Design, and Technology teams
Drive the end-to-end AI lifecycle from retrieval and model integration through evaluation, deployment, and monitoring
Set standards for reliability, security, performance, and cost across AI and non-AI services
Champion DevOps-first practices supported by automation, CI/CD, and infrastructure as code on AWS
Manage project portfolio, budget, priorities, and staff allocation
Provide guardrails for responsible AI use in coding, code review, test automation, and quality evaluation
Analyze GitHub, incident response, change failure rate, cycle time, AI usage, delivery speed, code quality, defect, reliability, token, inference, and tooling-cost data
Set AI budgets and optimize token consumption, inference cost, and tooling spend
Evaluate new models, agent frameworks, tool protocols such as MCP, and retrieval patterns
Encourage informed experimentation and adoption of AI/ML engineering practices across the enterprise

Requirements

What you’ll need

Bachelor's degree in computer science, information technology, or a related field, or equivalent practical experience
10+ years in software development
3+ years leading AI solution development
10+ years managing managers and building high-performing engineering teams in an agile environment
Experience leading managers, individual contributors, and vendor-managed teams, including scope, performance, cost, and quality
Ability to coach managers on people leadership and engage credibly with Staff and Principal engineers
Experience turning a multi-year vision into programs, roadmaps, and measurable results across multiple teams
Experience with large-scale rollouts and infrastructure initiatives
Track record of shipping LLM-based applications, RAG, or agent workflows in production-grade software
Knowledge of prompt and context design, retrieval, evaluation, and production trade-offs
Strong depth in cloud-native architecture on AWS, CI/CD, and infrastructure as code
Experience running mission-critical, high-availability systems
Daily use of AI coding tools such as GitHub Copilot, Cursor, or Claude Code
Experience empowering teams to adopt AI-assisted development with practices for review, quality, and security
Experience defining and analyzing DORA, cycle time, quality, and adoption metrics
Working knowledge of token usage, inference and tooling costs, and measuring return on AI investment
Experience shifting team mindsets, introducing new tools and ways of working, and moving teams to mission-based, outcome-owned models
Excellent communication skills and ability to explain complex technical and financial trade-offs to executives and customers
Preferred: experience leading globally distributed teams and restructuring engineering organizations around products, services, or customer outcomes
Preferred: experience shipping agentic systems in production, including evaluation, benchmarking, and monitoring
Preferred: knowledge of AI guardrails and governance
Preferred: experience with LLM APIs, information retrieval or search systems, and Model Context Protocol (MCP)
Preferred: vendor selection, contract negotiation, vendor/in-house transitions, and FinOps or inference cost optimization
Preferred: experience building management and technical career paths and retaining senior technical talent
Preferred: strong Python and RESTful API design skills
Preferred: AWS certifications such as Solutions Architect or DevOps Engineer
Preferred: legal or other regulated, content-rich professional domain background

Benefits

Comp & perks

Flexible hybrid working environment for office-based roles
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
Resources for mental, physical, and financial wellbeing
Two paid volunteer days off annually
Pro-bono consulting projects and ESG initiatives
Health, dental, vision, disability, and life insurance programs
Competitive 401(k) plan with company match
Sick and safe paid time off
Paid holidays, including two company mental health days
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
Flexible and supportive benefits and wellbeing programs
Reasonable accommodations for applicants with disabilities and sincerely held religious beliefs