Job description

Job Description: What if the AI agents you help build empower legal professionals to act with sharper judgment and greater leverage, using tools that are themselves AI-native and multiply what you and your team can ship? Our agent platform team builds and ships using AI-native engineering practices: agentic coding tools that let a small, senior group move at a pace well beyond traditional engineering throughput. That s how this team builds the infrastructure, tooling, and observability our AI agents need to run reliably at scale, often several efforts at once. We re also in the middle of rethinking how we deploy and operate agents in production, pushing quality and safety checks earlier in the pipeline and raising our bar for release velocity and stability. As a Senior AI Engineer, you ll bring deep technical expertise to that portfolio of work, owning meaningful systems end-to-end alongside a highly capable, team building the next generation of legal AI agents. Key Responsibilities: Architect and deliver complex AI agent systems end-to-end, including multi-component pipelines, tool integrations, and multi-step reasoning, for the initiatives you own. Build production AI agent systems on top of modern LLM APIs, agent SDKs, and orchestration/runtime infrastructure, integrating cleanly with existing platform services. Contribute to agent observability and evaluation practices (tracing, automated evals, and quality/drift detection) so regressions in agent behavior get caught before they reach customers. Adopt and extend progressive delivery practices, like feature-flagged rollout and earlier-stage quality signals, as the team raises its bar for release velocity and stability. Participate in cross-cutting design reviews and technical decisions (RFCs/ADRs), bringing sound technical judgment to how new systems fit together. Mentor other engineers on the team, sharing expertise and modeling how to use AI-native, agentic development practices effectively. Collaborate with product and engineering peers to translate requirements into solid technical designs. Required Qualifications: Strong experience architecting and shipping production software systems, including hands-on experience building AI/LLM-powered products or agentic systems (not solely classical ML/data science). Direct experience building with modern LLM APIs, agent frameworks/SDKs, or agent-to-tool integration protocols. Experience owning complex technical projects end-to-end, from design through production delivery. Strong backend engineering fundamentals, including distributed systems design, service architecture, and cloud infrastructure. Experience with production reliability and observability practices: monitoring, evaluation pipelines, incident response, and quality regression detection. Ability to mentor other engineers and contribute to a strong technical culture. Comfort working with high autonomy on a fast-moving, senior-heavy team that builds with AI-native/agentic engineering practices. Preferred Qualifications: Experience with developer-facing platforms, plugin/extension systems, or integration ecosystems. Familiarity with progressive delivery practices (feature flagging, phased rollout, blue/green deployment) at scale. Experience with managed agent runtime infrastructure (e.g., AWS Bedrock AgentCore or similar). Domain expertise in legal, regulated, professional-services, or other fiduciary domains is a plus, but not required. #LI-SM2 This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization. What’s in it For You? Hybrid 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. Flexibility & 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. Career 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. Industry 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. 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. 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. 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. Our 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. For any eligible US locations, unless otherwise noted, the base compensation range for this role is $110,000 USD - $204,200 USD. For Ontario, Canada, the base compensation range for this role is $100,000 CAD - $145,000 CAD. Base 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. This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, 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. If you reside in the United States and require an accommodation in the recruiting process, you may contact our Human Resources Department at HR.Leave-Expert thomsonreuters.com . Disability accommodations in the recruiting process may include things like a sign language interpreter, making interview rooms accessible, providing assistive technology, or other relevant accommodations. Please note this email is not intended for general recruitment questions and we will promptly respond to inquiries regarding accommodations. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com

Requirements

Must-haves

What if the AI agents you help build empower legal professionals to act with sharper judgment and greater leverage, using tools that are themselves AI-native and multiply what you and your team can ship?
Architect and deliver complex AI agent systems end-to-end, including multi-component pipelines, tool integrations, and multi-step reasoning, for the initiatives you own.
Build production AI agent systems on top of modern LLM APIs, agent SDKs, and orchestration/runtime infrastructure, integrating cleanly with existing platform services.
Contribute to agent observability and evaluation practices (tracing, automated evals, and quality/drift detection) so regressions in agent behavior get caught before they reach customers.
Adopt and extend progressive delivery practices, like feature-flagged rollout and earlier-stage quality signals, as the team raises its bar for release velocity and stability.
Participate in cross-cutting design reviews and technical decisions (RFCs/ADRs), bringing sound technical judgment to how new systems fit together.
Mentor other engineers on the team, sharing expertise and modeling how to use AI-native, agentic development practices effectively.
Collaborate with product and engineering peers to translate requirements into solid technical designs.
Strong experience architecting and shipping production software systems, including hands-on experience building AI/LLM-powered products or agentic systems (not solely classical ML/data science).
Direct experience building with modern LLM APIs, agent frameworks/SDKs, or agent-to-tool integration protocols.
Experience owning complex technical projects end-to-end, from design through production delivery.
Strong backend engineering fundamentals, including distributed systems design, service architecture, and cloud infrastructure.
Experience with production reliability and observability practices: monitoring, evaluation pipelines, incident response, and quality regression detection.
Ability to mentor other engineers and contribute to a strong technical culture.
Comfort working with high autonomy on a fast-moving, senior-heavy team that builds with AI-native/agentic engineering practices.
This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization.
What’s in it For You?

Nice-to-haves

Experience with developer-facing platforms, plugin/extension systems, or integration ecosystems.
Familiarity with progressive delivery practices (feature flagging, phased rollout, blue/green deployment) at scale.
Experience with managed agent runtime infrastructure (e.g., AWS Bedrock AgentCore or similar).
Domain expertise in legal, regulated, professional-services, or other fiduciary domains is a plus, but not required.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aillmmlaws

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Paid Time Off

Parental Leave