Lead Software Engineer, AI at Thomson Reuters | Ann Arbor, MI, US | Rezi

Lead Software Engineer, AI at Thomson Reuters

Lead Software Engineer, AI

Thomson Reuters · Ann Arbor, MI, US

1 months ago

Lead Software Engineer, AI

Thomson Reuters · Ann Arbor, MI, US

a month ago
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About the Role

As a Lead AI Engineer, you will set technical direction across the team's portfolio, shaping how a highly capable, senior team builds the next generation of legal AI agents. This role involves architecting and building production AI agent systems, designing agent observability and evaluation practices, and advancing deployment and operational strategies for AI agents.

Responsibilities

  • Set technical architecture and direction across the team's highest-priority initiatives, spanning core agent infrastructure, new internal tooling, and production reliability.
  • Provide hands-on technical leadership wherever it matters most, flexing across the team's highest-priority initiatives rather than being locked into a single fixed workstream.
  • Architect and build production AI agent systems on top of modern LLM APIs, agent SDKs, and orchestration/runtime infrastructure, designed to scale and integrate cleanly with existing platform services.
  • Design agent observability and evaluation practices (tracing, automated evals, and quality/drift detection) so regressions in agent behavior get caught before they reach customers.
  • Advance how the team deploys and operates AI agents in production, deepening practices like progressive/feature-flagged rollout and earlier-stage quality signals so releases get both faster and safer over time.
  • Drive cross-cutting design reviews and technical decisions (RFCs/ADRs) to keep new systems coherent as multiple initiatives move in parallel.
  • Mentor and raise the technical bar for a senior engineering team, including how they use AI-native, agentic development practices to multiply their own output.
  • Partner with product and engineering leadership to translate strategic priorities into concrete system architecture and sequencing decisions.

Requirements

  • Extensive experience architecting and shipping production software systems, including hands-on experience building AI/LLM-powered products or agentic systems (not solely classical ML/data science).
  • Direct experience building with modern LLM APIs, agent frameworks/SDKs, or agent-to-tool integration protocols.
  • A track record of setting technical direction across multiple concurrent initiatives, not just delivering one project end-to-end.
  • Strong backend engineering fundamentals, including distributed systems design, service architecture, and cloud infrastructure.
  • Experience designing for production reliability and observability: monitoring, evaluation pipelines, incident response, and quality regression detection.
  • Demonstrated ability to mentor senior engineers and influence technical culture and practices.
  • Comfort operating with high autonomy on a fast-moving, senior-heavy team that builds with AI-native/agentic engineering practices.
  • Experience leading architecture for developer-facing platforms, plugin/extension systems, or integration ecosystems.
  • Familiarity with progressive delivery practices (feature flagging, phased rollout, blue/green deployment) at scale.
  • Experience pushing a team toward elite software delivery practices: progressive delivery, shift-left quality/testing, and the kind of engineering discipline reflected in metrics like deployment frequency, lead time, and change failure rate.
  • Experience with managed agent runtime infrastructure (e.g., AWS Bedrock AgentCore or similar).
  • Domain expertise in legal, regulated, professional-services, or other fiduciary domains is a plus, but not required.

Skills

  • AI/LLM-powered products
  • Agentic systems
  • LLM APIs
  • Agent frameworks/SDKs
  • Agent-to-tool integration protocols
  • Distributed systems design
  • Service architecture
  • Cloud infrastructure
  • Production reliability
  • Observability
  • Monitoring
  • Evaluation pipelines
  • Incident response
  • Quality regression detection
  • Developer-facing platforms
  • Plugin/extension systems
  • Integration ecosystems
  • Progressive delivery practices
  • Feature flagging
  • Phased rollout
  • Blue/green deployment
  • Managed agent runtime infrastructure

Location

  • US
  • Ontario, Canada

Work Type

  • Hybrid Work Model
  • Work from anywhere for up to 8 weeks per year

Experience Level

  • Lead
  • Senior

Salary/Compensations

  • USD $127,400 - $236,600
  • CAD $140,000 - $175,000

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
  • Two paid volunteer days off annually
  • 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

About the Company

  • 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.
  • Join us and help shape the industries that move society forward.

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.
  • Learn more on how to protect yourself from fraudulent job postings here.