Job Description:

Engineering Manager,

Are you passionate about transforming the future of legal research with AI? Join our Global Westlaw Engineering organization and help shape the next generation of intelligent legal research solutions.

The Global Westlaw Engineering organization builds and operates the technology that powers Westlaw, the world's leading legal research platform. Our teams develop innovative products and fiduciary-level, AI-based solutions that help legal professionals find trusted answers, uncover insights, and make confident decisions faster. Working across engineering, AI, data, platform, and product disciplines, we deliver secure, scalable, and intelligent experiences for customers around the globe.

As an Engineering Manager, you will build and lead a team of software engineers, including Senior and Staff levels, to deliver the full-stack products, AI-enabled features, and services behind Westlaw's next generation of experiences. Your team will build agentic legal research experiences and the retrieval services that ground them in trusted legal content.

You will stay close to the technology as a hands-on leader. You will help shape architecture, set engineering standards, and guide your team in building with agentic systems, retrieval-augmented generation (RAG), and large language models (LLMs). You will also champion AI-assisted development as a way of working, so your team can deliver intelligent, trustworthy, and high-performing solutions for legal professionals worldwide.

Key Responsibilities

Team Management

- Build and lead a team of software engineers, including Senior and Staff levels, owning hiring, onboarding, performance management, and professional development, with a focus on deep technical ownership.




- Develop engineers with strong software fundamentals and domain expertise in information retrieval and agentic system design.
- Foster a culture of empowered ownership in which engineers define problems, make sound technical decisions, and carry work through to reliable production operations.
- Shift team mindsets and build a culture of continuous learning, helping engineers adopt new tools, practices, and ways of working.
- Lead by example as a hands‑on technical manager, writing and reviewing code, prototyping solutions, and resolving critical production issues.
- Translate complex technical concepts and trade‑offs into clear terms for stakeholders.

Technical Leadership

- Oversee the development of scalable user interfaces, backend services, and RESTful APIs.
- Drive GenAI and large language model (LLM) integration initiatives.
- Shape architecture, engineering standards, coding practices, and code review processes.
- Champion a DevOps‑first mindset in which engineers own build, deployment, monitoring, and reliability, supported by automation and CI/CD.
- Ensure delivery meets both functional and non‑functional requirements, including performance, scalability, reliability, security, and maintainability.
- Embed quality and security into every stage of development, with rigorous testing, secure coding practices,



and continuous evaluation of quality.
- Design and manage cloud‑native solutions on AWS.
- Evaluate and integrate emerging tool protocols (such as MCP) and retrieval patterns, with a clear understanding of production readiness and operational implications.

AI-Enabled Engineering

- Model AI‑assisted and agent‑driven development as a team norm, and monitor and optimize token consumption to balance productivity, quality, and cost.
- Lead feature development using AI agents, setting transparent practices for task specification, human review of agent‑generated code, and accountability for what ships.
- Apply AI across the engineering lifecycle, including code generation, code review, test automation, and quality evaluation, with guardrails for security, data handling, and responsible use.
- Define how the team measures the impact of AI and agents on delivery speed, code quality, and defect rates.

Strategic Delivery

- Define and maintain secure engineering processes for the team that builds and delivers our flagship legal research products.
- Deliver solutions aligned with product roadmaps through incremental delivery, managing dependencies and tracking success metrics.

Continuous Learning

- Stay current with developments in AI, cloud computing, and software engineering, and bring them into the team's practices.

Required Qualifications

- 8+ years of hands‑on software engineering experience across front‑end and back‑end, building scalable web applications, with 3+ years managing engineering teams.
- A track record of leading teams that ship and operate production‑grade full‑stack systems at scale, including se

📌 Engineering Manager, AI (Toronto)
🏢 Thomson Reuters
📍 Toronto