Lead the engineering team delivering production AI solutions for public accounting firms and corporate tax departments at Thomson Reuters.

Key Responsibilities:

Build, lead and develop a senior engineering team of engagement leads, AI engineers and integration engineers
Own staffing, capacity planning and delivery forecasting across client engagements
Provide technical leadership for production AI solutions, reviewing architecture, scope, estimates and operating costs
Set standards for AI quality, evaluation and risk controls
Own delivery health and client outcomes across engagements
Improve engineering effectiveness through AI-enabled development
Partner with business, product, consulting and platform leaders to align demand with capacity

Required Qualifications:

10+ years of experience in software engineering or technical consulting, including 5+ years managing engineering teams
Ownership of client-facing engineering delivery in consulting, professional services or a comparable environment
Experience leading teams that shipped LLM-powered applications into production
Hands-on experience with modern AI engineering practices, including RAG, agentic workflows, function calling or Model Context Protocol (MCP)
Daily use of AI coding tools, such as Claude Code, Cursor or GitHub Copilot
Ability to assess and address AI risks in regulated environments

Preferred 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

What's in it For You?:

Lead Engineering Team for Production AI Solutions

Skills