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About the Role
Lead a global organization of engineering managers, senior engineers, and vendor partners to own the multi-year AI engineering strategy and its alignment with the product delivery roadmap. Drive the transformation to mission-based teams, AI-assisted development, and data-driven decision-making.
Responsibilities
- Lead a high-performing global organization, setting clear expectations, coaching managers and engineers, and leading by example.
- Stay close to the technical work, collaborating with senior engineers on architecture, technical direction, and complex problems.
- Own and implement the engineering strategy, ensuring alignment with the product delivery roadmap and adapting to evolving priorities.
- Lead the transformation to a mission-based operating model with long-lived teams owning product areas or customer outcomes.
- Define and track measures for each mission, such as reliability, quality, delivery speed, adoption, and cost.
- Manage vendor relationships, ensuring integration, clear scope, outcomes, service levels, and adherence to internal standards.
- Decide on the balance of in-house, partner, and vendor work based on cost, speed, capability, risk, and knowledge retention.
- Communicate proactively about the organization's business value and strategic contributions.
- Deliver strategic projects with urgency by partnering with Product Management, UX Design, and other Technology teams.
- Drive the end-to-end AI lifecycle, from retrieval and model integration to evaluation, deployment, and monitoring.
- Set the standard for operational excellence in AI and non-AI services, championing a DevOps-first model on AWS.
- Manage the project portfolio, including budget, priorities, and staff allocation.
- Provide guardrails and empower teams to use AI in daily engineering work, encouraging experimentation and adoption.
- Make decisions with data by analyzing engineering metrics to identify bottlenecks and track progress.
- Track ownership and accountability using incident response and change failure rates to drive improvements.
- Measure the impact of AI on delivery speed, code quality, defect rates, and reliability.
- Own the economics of AI usage, setting budgets, tracking costs, and optimizing token consumption and inference expenses.
- Stay on top of the AI landscape, evaluating and integrating new models, frameworks, and patterns.
- Encourage experimentation with new approaches and informed risk-taking within teams.
- Build career paths for management and technical tracks, and retain senior technical talent.
Requirements
- A bachelor's degree in computer science, information technology, or a related field, or equivalent practical experience.
- 10+ years in software development, including 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.
- Track record of shipping LLM-based applications, RAG, or agent workflows in production-grade software.
- Credibility in discussing 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 (e.g., GitHub Copilot, Cursor, Claude Code).
- Experience empowering managers and teams to adopt AI-assisted development with strong practices for review, quality, and security.
- Experience defining and analyzing metrics such as DORA, cycle time, quality, and adoption.
- Working knowledge of token usage, inference and tooling costs, and measuring AI ROI.
- Experience shifting team mindsets, introducing new tools and ways of working.
- Experience moving teams to mission-based, outcome-owned models with clear ownership, decision rights, and accountability.
- Excellent communication skills, able to explain complex technical and financial trade-offs to executives and customers.
- Experience leading globally distributed teams and restructuring an engineering organization around products, services, or customer outcomes.
- Experience shipping agentic systems in production, including evaluation, benchmarking, and monitoring.
- Knowledge of AI guardrails and governance.
- Experience with LLM APIs (e.g., OpenAI, Anthropic) at scale.
- Experience with information retrieval or search systems.
- Experience with standards such as Model Context Protocol (MCP).
- Experience with vendor selection, contract negotiation, and transitions between vendor and in-house teams.
- Experience managing cloud and AI cost through FinOps or inference cost optimization.
- Strong Python and RESTful API design skills.
- AWS certifications, such as Solutions Architect or DevOps Engineer, are a plus.
- Background in legal or other regulated, content-rich professional domains.
Skills
- AI
- AI strategy
- Product delivery roadmap
- Mission-based teams
- AI-assisted development
- Data-driven decision-making
- Engineering best practices
- Agile environment
- Cloud-native architecture
- AWS
- CI/CD
- Infrastructure as code
- DevOps
- LLM
- RAG
- Agent workflows
- Prompt design
- Context design
- Retrieval
- Evaluation
- Production trade-offs
- GitHub Copilot
- Cursor
- Claude Code
- DORA metrics
- Cycle time
- Code quality
- Defect rates
- Reliability
- Token usage
- Inference cost
- Tooling cost
- AI ROI
- Python
- RESTful API design
- Information retrieval
- Search systems
- Model Context Protocol (MCP)
- OpenAI API
- Anthropic API
- FinOps
Location
- Global
Work Type
- Hybrid
Experience Level
- Director
- 10+ years in software development
- 3+ years leading AI solution development
- 10+ years managing managers
Education Level
- Bachelor's degree in computer science, information technology, or a related field, or equivalent practical experience.
Salary/Compensations
- $158,900 USD - $295,100 USD
Benefits
- Hybrid Work Model
- Flexibility & Work-Life Balance
- Work from anywhere for up to 8 weeks per year
- Career Development and Growth
- Grow My Way programming
- Skills-first approach
- Industry Competitive Benefits
- Flexible vacation
- Two company-wide Mental Health Days off
- Access to the Headspace app
- Retirement savings
- Tuition reimbursement
- Employee incentive programs
- Resources for mental, physical, and financial wellbeing
- Globally recognized, award-winning reputation for inclusion and belonging
- Two paid volunteer days off annually
- Pro-bono consulting projects
- Environmental, Social, and Governance (ESG) initiatives
- Market competitive health, dental, vision, disability, and life insurance programs
- Competitive 401k plan with company match
- Competitive vacation, sick and safe paid time off
- Paid holidays
- Parental leave
- Sabbatical leave
- Optional hospital, accident and sickness insurance
- Optional life and AD&D insurance
- Flexible Spending and Health Savings Accounts
- Fitness reimbursement
- Access to Employee Assistance Program
- Group Legal Identity Theft Protection benefit
- Access to 529 Plan
- Commuter benefits
- Adoption & Surrogacy Assistance
- Employee Stock Purchase Plan
- Annual Bonus based on enterprise and individual performance
About the Company
- Westlaw helps legal professionals around the world research, analyze, and act with confidence.
- Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions.
- We serve professionals across legal, tax, accounting, compliance, government, and media.
- Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency.
- Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
- We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments.
- At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them.
- We are one of the few companies globally that helps its customers pursue justice, truth, and transparency.
- Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
Equal Opportunity
- As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law.
- Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
- Thomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law.
- If you reside in the United States and require an accommodation in the recruiting process, you may contact our Human Resources Department at HR.Leave-Expert@thomsonreuters.com.
- Disability accommodations in the recruiting process may include things like a sign language interpreter, making interview rooms accessible, providing assistive technology, or other relevant accommodations.
- Please note this email is not intended for general recruitment questions and we will promptly respond to inquiries regarding accommodations.
- More information on requesting an accommodation here.
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