Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

Tailor your resume to this Engineering Manager, AI role.

Rezi rewrites your resume against Thomson Reuters's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Engineering Manager, AI posting at Thomson Reuters — free, in seconds.

About the Role

As an Engineering Manager, you will build and lead a team of software engineers to deliver full-stack products, AI-enabled features, and services for 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, shaping architecture, setting engineering standards, and guiding your team in building with agentic systems, retrieval-augmented generation (RAG), and large language models (LLMs). You will also champion AI-assisted development to deliver intelligent, trustworthy, and high-performing solutions.

Responsibilities

Build and lead a team of software engineers, owning hiring, onboarding, performance management, and professional development.
Develop engineers with strong software fundamentals and domain expertise in information retrieval and agentic system design.
Foster a culture of empowered ownership where engineers define problems, make sound technical decisions, and ensure 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.
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 where 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 through rigorous testing, secure coding practices, and continuous evaluation.
Design and manage cloud-native solutions on AWS.
Evaluate and integrate emerging tool protocols and retrieval patterns, understanding production readiness and operational implications.
Model AI-assisted and agent-driven development as a team norm, and monitor and optimize token consumption.
Lead feature development using AI agents, setting practices for task specification, human review of agent-generated code, and accountability.
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.
Define and maintain secure engineering processes for the team that builds and delivers flagship legal research products.
Deliver solutions aligned with product roadmaps through incremental delivery, managing dependencies and tracking success metrics.
Stay current with developments in AI, cloud computing, and software engineering, and integrate them into the team's practices.

Requirements

8+ years of hands-on software engineering experience across front-end and back-end, building scalable web applications.
3+ years managing engineering teams.
A track record of leading teams that ship and operate production-grade full-stack systems at scale, including secure coding practices and reliability.
Hands-on experience building with LLMs in production or serious prototypes, such as RAG, prompt and context design, evaluation, or agent workflows.
Daily use of AI coding tools (e.g., GitHub Copilot, Cursor, Claude Code).
Experience leading, or working hands-on in, a team that builds and uses AI agents, with strong practices for review, quality, and security.
Clear understanding of RESTful API design principles.
Strong proficiency in Python and in designing and building RESTful APIs.
Working proficiency in React or a similar modern UI framework (such as Angular or Vue).
Experience with TypeScript and Node.js.
Strong knowledge of AWS architecture and services.
Experience in DevOps, CI/CD pipelines, and infrastructure as code.
Success in hiring, coaching, mentoring, and developing engineers, including Senior and Staff levels.
Experience partnering with Product, Design, and cross-functional leaders to set strategy and execute against it.
Excellent communication skills, with the ability to set clear goals, give direct feedback, and align stakeholders.
Comfort operating in a fast-moving, ambiguous environment, making data-driven decisions as priorities evolve.
A strategic mindset, with the ability to ensure technical decisions align with business goals.
A Bachelor's degree in computer science, engineering, or a related discipline, or equivalent practical experience.
Experience shipping AI-driven or agentic systems in production, such as LLM orchestration, RAG and information retrieval, agent frameworks, and tool protocols.
Experience with agent evaluation, including testing, benchmarking, and monitoring agent behavior.
Experience with Python frameworks such as Django, Flask, or FastAPI.
Background managing mixed teams of front-end, back-end, and software/AI engineers.
A track record of changing team mindsets and helping engineers adopt new tools and ways of working.
Exposure to legal or other regulated professional domains.
AWS certifications, such as Solutions Architect or DevOps Engineer.

Skills

AI-assisted development
Agentic systems
Retrieval-augmented generation (RAG)
Large language models (LLMs)
Information retrieval
Agentic system design
Scalable user interfaces
Backend services
RESTful APIs
GenAI
DevOps
CI/CD
AWS architecture
Infrastructure as code
Python
React
Angular
Vue
TypeScript
Node.js
OpenAPI/Swagger
Django
Flask
FastAPI
LLM orchestration
Agent frameworks
Tool protocols (MCP)
LLM APIs (OpenAI, Anthropic)

Location

Work Type

Hybrid

Experience Level

8+ years of software engineering experience
3+ years of management experience

Education Level

Bachelor's degree in computer science, engineering, or a related discipline, or equivalent practical experience.

Salary/Compensations

$118,400 USD - $219,800 USD (US)
$140,600 CAD - $190,600 CAD (Ontario, Canada)

Benefits

Flexible hybrid working environment
Flex My Way policies for work-life balance
Work from anywhere for up to 8 weeks per year
Continuous learning and skill development programs
Grow My Way programming
Skills-first approach
Flexible vacation
Two company-wide Mental Health Days off
Access to the Headspace app
Retirement savings with company match
Tuition reimbursement
Employee incentive programs
Resources for mental, physical, and financial wellbeing
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 trusted content and technology for decision-making.
We serve professionals across legal, tax, accounting, compliance, government, and media.
Our products combine specialized software and insights to empower professionals with data, intelligence, and solutions.
Reuters is a world leading provider of trusted journalism and news.
We are powered by 26,000 employees across more than 70 countries.
We are committed to pursuing objectivity, accuracy, fairness, and transparency.

Equal Opportunity

As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals.
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.