T

Thomson Reuters

Legal, financial data, and media services

Engineering Manager - AI Engineering, Forward-Deployed Engineering

Engineering LeadershipUpdated on Nov 11
Full-timeHybrid

About the Job

Requirements

  • At least 10 years of experience in software engineering or technical consulting, including at least 5 years managing engineering teams, with demonstrated success hiring, developing and retaining senior engineers.
  • Experience owning client-facing engineering delivery in consulting, professional services or a comparable environment, including staffing, resource allocation, utilization and capacity forecasting.
  • Experience leading teams that shipped large language model-powered applications into production, with the ability to explain architecture, implementation decisions, operating costs and technical tradeoffs.
  • Hands-on experience with modern artificial intelligence engineering practices, including retrieval-augmented generation, agentic workflows, function calling or Model Context Protocol, evaluation frameworks and observability.
  • Daily use of artificial intelligence coding tools such as Claude Code, Cursor or GitHub Copilot, and experience establishing team workflows around them.
  • Ability to assess and address artificial intelligence risks in regulated environments, including hallucinations, data leakage, prompt injection and audit-trail integrity.
  • Demonstrated technical decision-making, people development, delivery prioritization and stakeholder communication, including managing expectations and resolving escalations with senior client executives and internal leaders.

Responsibilities

  • Build, lead and develop a senior engineering team of engagement leads, artificial intelligence engineers and integration engineers, owning hiring, coaching, performance management and career development.
  • Own staffing, capacity planning and delivery forecasting across client engagements, matching skills and availability to demand, maintaining capacity for pre-sales prototypes and addressing resource gaps before they affect delivery.
  • Provide technical leadership for production artificial intelligence solutions, reviewing architecture, scope, estimates and operating costs across retrieval-augmented generation, artificial intelligence agents, tool integrations, and prompt and context engineering.
  • Set standards for artificial intelligence quality, evaluation and risk controls, including reference datasets, expert review, regression testing, accuracy thresholds and safeguards appropriate for regulated tax and audit work.
  • Own delivery health and client outcomes across engagements, managing scope, risk, quality and client satisfaction while serving as the escalation point for clients and internal teams.
  • Improve engineering effectiveness through artificial intelligence-enabled development, embedding artificial intelligence coding tools, automated testing, evaluation pipelines and reusable solutions into team workflows.
  • Partner with business, product, consulting and platform leaders to align demand with capacity, resolve competing priorities, support transitions into ongoing support and report on utilization, throughput and forecast accuracy.

Desired Qualifications

  • Experience in tax, audit, accounting or financial services.
  • Experience managing engineering leads or managers.
  • Experience scaling engineering teams while maintaining hiring quality and delivery standards.
  • Background in forward-deployed engineering, solutions engineering or embedded client delivery.

About the Company

Thomson Reuters

Legal, financial data, and media services

Thomson Reuters provides intelligent information and professional services for law, tax, finance, and media. It serves law firms, corporations, government agencies, and financial institutions with platforms like legal research (Westlaw), tax software (UltraTax CS), financial market data, and news services. These products are accessed through subscription-based platforms, ensuring ongoing updates and a steady revenue stream. The company also monetizes through advertising on media platforms and data analytics sales. It distinguishes itself by offering a broad, integrated suite of industry-specific tools combined with AI, cognitive computing, and machine learning to improve accuracy, efficiency, and predictive analytics in research and data insights. Its goal is to be a trusted partner that helps professionals make informed decisions by delivering reliable information and decision-ready tools while pursuing responsible, values-driven initiatives.

Company size
10,001+
Company stage
IPO
Headquarters
Toronto, Canada
Founded
1851

Recently Posted Jobs

Explore more opportunities at Thomson Reuters

See more jobs