Thomson Reuters

Thomson Reuters

Director, Engineering, AI

United States of America, Eagan, Minnesota · Director

Sponsorship not specifiedDetected 2 days ago
PythonCode ReviewGitAWSCI/CDDevOpsAPI DevelopmentRESTMachine LearningLLMsRAGAgentic AIIncident ResponseUX DesignNegotiationTest AutomationResearchLeadershipCommunication

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odds of building a lasting career here

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Cap-exempt (no lottery)0
Sponsors this role75
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

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Files H-1B transfers

9 transfer filings in the last year, covering 9 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Are you passionate about transforming how legal professionals find trusted answers with AI?
  • Join our Global Westlaw Engineering organization and help shape the future of AI-driven legal research.
  • Westlaw helps legal professionals around the world research, analyze, and act with confidence.

Responsibilities

  • Lead a high-performing global organization. Set clear expectations, coach managers and engineers, and lead by example, using AI tools and engineering data in your own work.
  • Own Engineering strategy implementation and its alignment with the product delivery roadmap.
  • Lead the transformation to a mission-based operating model.
  • Replace project-by-project handoffs with long-lived teams that own a product area, service, or customer outcome from design through production support.
  • Manage the vendor relationship.
  • Make sure they document their work and transfer knowledge, so the organization does not depend on a single vendor.
  • Decide what to do in-house, with partners, or through vendors. Balance cost, speed, capability, risk, and long-term knowledge retention.
  • Communicate proactively. Show how your organization's work delivers business value and supports strategy, and work directly with stakeholders and peers to shape the future of our products.
  • Deliver strategic projects with urgency. Partner with Product Management, UX Design, and other Technology teams. Remove blockers, make timely decisions, and enable your teams to solve complex business problems with clearly defined outcomes.
  • Drive the end-to-end AI lifecycle. Own the work from retrieval and model integration through evaluation, deployment, and monitoring.

Requirements

  • A bachelor's degree in computer science, information technology, or a related field, or equivalent practical experience.
  • Experience leading managers, individual contributors, and vendor-managed teams, including scope, performance, cost, and quality.
  • You can coach managers on people leadership and engage credibly with Staff and Principal engineers.
  • A track record of shipping LLM-based applications, RAG, or agent workflows in production-grade software.
  • Strong depth in cloud-native architecture on AWS, CI/CD, and infrastructure as code, and experience running mission-critical, high-availability systems.
  • Experience defining and analyzing metrics such as DORA, cycle time, quality, and adoption to find problems and show results.
  • Working knowledge of token usage, inference and tooling costs, and how to measure the return on AI investment.
  • Experience shifting team mindsets, introducing new tools and ways of working, and moving teams to mission-based, outcome-owned models with clear ownership, decision rights, and accountability.

Nice to have

  • Experience leading globally distributed teams and restructuring an engineering organization around products, services, or customer outcomes.
  • Agentic systems and responsible AI.
  • Experience shipping agentic systems in production, including evaluation, benchmarking, and monitoring, and knowledge of AI guardrails and governance.
  • LLM APIs, search, and agent frameworks.
  • Experience with LLM APIs (e.g., OpenAI, Anthropic) at scale, information retrieval or search systems, and standards such as Model Context Protocol (MCP).
  • Vendor and cost management.
  • 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.

Compensation

  • We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.

Benefits

  • In the United States, Thomson Reuters offers a comprehensive benefits package to our employees.
  • Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan

Company info

  • You can explain complex technical and financial trade-offs to executives and customers and align stakeholders.
  • We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. - Social Impact: Make an impact in your community with our Social Impact Institute.
  • Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
  • We are one of the few companies globally that helps its customers pursue justice, truth, and transparency.
  • We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
  • Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency.
  • We live by our values:

Visa & Work Authorization

  • Unless you opt-out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review.
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This listing is sourced directly from Thomson Reuters's careers page and normalized into a canonical job model.