{"id":2899046,"url":"https://alion.io/job/thomson-reuters-engineering-manager-ai","title":"Engineering Manager, AI","company":{"id":1951,"name":"Thomson Reuters","domain":"thomsonreuters.com","url":"https://alion.io/company/thomson-reuters","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":102,"ghost_share":0.078,"stale_share":0.333,"repost_share":0.186,"time_to_fill_p50_days":26,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Frisco, United States","Toronto, Canada","United States"],"countries":["US","CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":118400,"max":219800,"currency":"USD","period":"year","gross":null,"usd_annual":219800},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Angular","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Node JS","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Swagger","optional":false},{"name":"TypeScript","optional":false},{"name":"Vue.js","optional":false},{"name":"Anthropic","optional":true},{"name":"Django","optional":true},{"name":"FastAPI","optional":true},{"name":"Flask","optional":true},{"name":"JavaScript","optional":true},{"name":"OpenAI","optional":true}],"status":"live","first_seen_at":"2026-10-19T00:00:00Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-31T21:46:00Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"Job Description:\nEngineering Manager,\nAre 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.\nThe 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.\nAs 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.\nYou 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.\nKey Responsibilities\nTeam Management\nBuild 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.\nDevelop engineers with strong software fundamentals and domain expertise in information retrieval and agentic system design.\nFoster a culture of empowered ownership in which engineers define problems, make sound technical decisions, and carry work through to reliable production operations.\nShift team mindsets and build a culture of continuous learning, helping engineers adopt new tools, practices, and ways of working.\nLead by example as a hands-on technical manager, writing and reviewing code, prototyping solutions, and resolving critical production issues.\nTranslate complex technical concepts and trade-offs into clear terms for stakeholders.\nTechnical Leadership\nOversee the development of scalable user interfaces, backend services, and RESTful APIs.\nDrive GenAI and large language model (LLM) integration initiatives.\nShape architecture, engineering standards, coding practices, and code review processes.\nChampion a DevOps-first mindset in which engineers own build, deployment, monitoring, and reliability, supported by automation and CI/CD.\nEnsure delivery meets both functional and non-functional requirements, including performance, scalability, reliability, security, and maintainability.\nEmbed quality and security into every stage of development, with rigorous testing, secure coding practices, and continuous evaluation of quality.\nDesign and manage cloud-native solutions on AWS.\nEvaluate and integrate emerging tool protocols (such as MCP) and retrieval patterns, with a clear understanding of production readiness and operational implications.\nAI-Enabled Engineering\nModel AI-assisted and agent-driven development as a team norm, and monitor and optimize token consumption to balance productivity, quality, and cost.\nLead feature development using AI agents, setting clear practices for task specification, human review of agent-generated code, and accountability for what ships.\nApply AI across the engineering lifecycle, including code generation, code review, test automation, and quality evaluation, with guardrails for security, data handling, and responsible use.\nDefine how the team measures the impact of AI and agents on delivery speed, code quality, and defect rates.\nStrategic Delivery\nDefine and maintain secure engineering processes for the team that builds and delivers our flagship legal research products.\nDeliver solutions aligned with product roadmaps through incremental delivery, managing dependencies and tracking success metrics.\nContinuous Learning\nStay current with developments in AI, cloud computing, and software engineering, and bring them into the team's practices.\nRequired Qualifications\n8+ years of hands-on software engineering experience across front-end and back-end, building scalable web applications, with 3+ years managing engineering teams.\nA track record of leading teams that ship and operate production-grade full-stack systems at scale, including secure coding practices and reliability, and of staying hands-on through architecture discussions, design decisions, code reviews, and prototyping.\nHands-on experience building with LLMs in production or in serious prototypes, such as RAG, prompt and context design, evaluation, or agent workflows, and daily use of AI coding tools (e.g., GitHub Copilot, Cursor, Claude Code).\nExperience leading, or working hands-on in, a team that builds and uses AI agents, with strong practices for review, quality, and security.\nClear understanding of RESTful API design principles, including: resource modeling and URI designcorrect use of HTTP methods and status codesidempotencypagination, filtering, and versioningauthentication and authorizationconsistent error handlingAPI documentation (e.g., OpenAPI/Swagger)\nStrong proficiency in Python and in designing and building RESTful APIs.\nWorking proficiency in React or a similar modern UI framework (such as Angular or Vue), and experience with TypeScript and Node.js.\nStrong knowledge of AWS architecture and services, with experience in DevOps, CI/CD pipelines, and infrastructure as code.\nSuccess in hiring, coaching, mentoring, and developing engineers, including Senior and Staff levels.\nExperience partnering with Product, Design, and cross-functional leaders to set strategy and execute against it.\nExcellent communication skills, with the ability to set clear goals, give direct feedback, and align stakeholders.\nComfort operating in a fast-moving, ambiguous environment, making data-driven decisions as priorities evolve.\nA strategic mindset, with the ability to ensure technical decisions align with business goals.\nA Bachelor's degree in computer science, engineering, or a related discipline, or equivalent practical experience.\nPreferred Qualifications\nExperience shipping AI-driven or agentic systems in production, such as LLM orchestration, RAG and information retrieval, agent frameworks, and tool protocols (e.g., MCP), using LLM APIs (OpenAI, Anthropic) reliably at scale.\nExperience with agent evaluation, including testing, benchmarking, and monitoring agent behavior.\nExperience with Python frameworks such as Django, Flask, or FastAPI.\nBackground managing mixed teams of front-end, back-end, and software/AI engineers.\nA track record of changing team mindsets and helping engineers adopt new tools and ways of working.\nExposure to legal or other regulated professional domains.\nAWS certifications, such as Solutions Architect or DevOps Engineer.\nThis posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization.\nWhat’s in it For You?\nHybrid Work Model: We’ve adopted a flexible hybrid working environment for our office-based roles while delivering a seamless experience that is digitally and physically connected.\nFlexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.\nCareer Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.\nIndustry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.\n Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.\n Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. \n Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.\nOur use of AI within the recruitment process Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process. Unless you opt-out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review. The AI system acts as a supporting tool, but there is always a human making the decision if you will be considered for the role.In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations.\n\nFor any eligible US locations, unless otherwise noted, the base compensation range for this role is $118,400 USD - $219,800 USD.\nFor Ontario, Canada, the base compensation range for this role is $140,600 CAD - $190,600 CAD.\n\nBase pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs.\nThis role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.\n\nAbout Us\nThomson Reuters informs the way forward by bringing together the trusted...","description_format":"text","description_chars":14426,"description_truncated":true,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Continuous learning","Equity","Flexible schedule","Hybrid work","Life insurance","Parental leave","Professional development"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["News Agencies","RegTech, AML & Compliance","Accounting & Tax Software","Legal Software"],"lifecycle":[{"event":"open","at":"2026-10-20T05:42:27Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 51 · green card filings: 1","filings_12m":51,"filings_prev_12m":46,"green_card_filings_12m":1,"median_offered_wage_usd":133846,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":2}],"liveness":{"score":79,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.877,"p_room":0.9,"age_days":12,"expected_fill_days":26,"reasons":["conf:2","velocity","win:mid","comp:brand"],"computed_at":"2026-10-31T05:58:55Z"},"pay":{"stated_usd_annual":219800,"is_top_pay":true},"html_url":"https://alion.io/job/thomson-reuters-engineering-manager-ai","json_url":"https://alion.io/job/thomson-reuters-engineering-manager-ai.json","meta":{"generated_at":"2026-10-31T21:54:13Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":34165,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1951},"rest":"https://alion.io/mcp/rest/get_company?id=1951"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fthomson-reuters-engineering-manager-ai"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fthomson-reuters-engineering-manager-ai"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fthomson-reuters-engineering-manager-ai"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/thomson-reuters-engineering-manager-ai\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fthomson-reuters-engineering-manager-ai"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":2899046}},{"tool":"search_jobs","arguments":{"company":"thomsonreuters.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":2899046},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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