You will own:

AI-Native Engineering and Developer Enablement You will define what AI-native development means at

Thomson Reuters:

the agreed coding-agent stack, the prompt and evaluation standards, the CI/CD integrations, and the guardrails that make agent-assisted development safe inside the enterprise. You will govern the AI developer tooling estate (coding agents, prototyping tools, evaluation and observability platforms) and set patterns for MCP servers and developer-facing agents. AI Platform and Tooling Integration You will own the technical direction for the AI platform capabilities engineering teams across TR consume: model serving, evaluation infrastructure, RAG and retrieval infrastructure, fine-tuning workflows, prompt and observability tooling, and the integration of these capabilities with the existing platform estate (IDP, API management, observability, GitHub). You will partner with and align the Cloud Infrastructure agentic platform team to keep developer-facing and ops-facing AI strategies coherent. Performance & Scalability You will own the quality bar for security, scalability, and reliability of AI Platform Systems. Define and enforce observability and performance standards for AI-driven workloads operating at enterprise scale across millions of documents and interactions. Collaboration & Leadership You will lead and grow teams of AI engineers building the services and platforms that translate AI capabilities into real-world product applications. Foster a culture of experimentation, continuous improvement, and engineering excellence. Own hiring, performance, and mentorship across the organization. Key responsibilities and impact Define, publish, and evolve TR's AI‑native engineering standards, including reference implementations; support adoption through office hours and direct engagement with product engineering teams. Partner with InfoSec, Legal, Privacy, and the AI Council to ensure AI engineering practices are auditable, compliant, and production ready. Lead architecture reviews for AI systems entering the production estate, driving standards compliance and shaping the Platform Engineering portfolio ahead of demand. Lead technical evaluations and build‑vs‑buy decisions for AI infrastructure, model serving, evaluation platforms, and developer tooling. Represent Platform Engineering in M&A technical due diligence, where AI, cloud, and modern engineering posture are in scope. Drive broader engineering productivity and developer experience initiatives where AI intersects with

IDP, DORA, API

‑first delivery, and Consumer Success engagements. Coach and mentor principal and staff engineers across the organisation, raising the bar for how TR designs, evaluates, and delivers production-grade AI systems. Own the publication of TR's AI-native reference implementations and drive adoption across product engineering teams. Represent Thomson Reuters externally at AI engineering, platform, and architecture forums to both learn from and influence industry best practices. Location This hybrid role can be based in any of the following hub locations: Eagan, MN; Frisco, TX or New York, NY. About You You are a strong fit for the VP, AI Platform Engineering role if you possess the following skills and experience: 15+ years building and operating software at enterprise scale, with at least 5 years in AI/ML engineering with a focus on production deployment. Proven track record building and shipping multi-agent AI systems at enterprise scale. Deep expertise in LLM fine-tuning techniques (DPO, RAG, multi-turn prompting). Experience designing and implementing agentic AI architectures: tool-use, orchestration, reasoning, evaluation. Strong background in MLOps and ML data infrastructure (Spark, Kafka, Kubernetes, model serving, feature stores). Working fluency across the current AI-developer-tooling landscape: coding agents, MCP, evaluation frameworks, prompt and eval observability. You should be using this stuff yourself, not just reading about it. Experience with cloud AI services across AWS (Bedrock, SageMaker), Azure, GCP, or OCI. Proficiency in Python and modern ML frameworks (PyTorch, HuggingFace, LangChain, AutoGen, vLLM). Deep engineering credibility with hands-on AI engineering experience. You carry the technical depth to lead architecture reviews, set the standard, and drive engineering quality across teams. Familiarity with engineering productivity frameworks (DORA, SPACE, DX) and the limits of each. Comfort operating across CTO and CIO governance, product engineering leaders, security, legal, and procurement. You know how to land AI strategy in a regulated, multi-segment business. Strong written communication. You will be writing standards, not just slide decks. Demonstrated ability to lead research teams and translate academic work into production systems. Track record of organizational leadership and scaling cross-functional teams. Nice to have Graduate degree in Computer Science, AI, Data Science, or related field. Active academic researcher or open-source contributor in agentic AI, LLM customisation, or related areas. Experience with conversational AI, document intelligence (LayoutLM-style models), or domain-specific dialogue systems. Prior experience in leading teams of engineers, AI researchers, and product development teams to translate AI capabilities into real-world applications, owning large projects or workstreams. Experience in legal, tax, financial services, or other regulated information businesses. Experience defining and shipping data catalogues and workflows at scale (Port, Backstage, or comparable). What success looks like in the first 12 months TR has a published AI engineering standards document and reference architecture for multi-agent systems, adopted by at least three product or platform teams. A defended set of evaluation, observability, and production-readiness criteria exists for AI systems entering the TR production estate. The AI developer tooling estate is rationalised, governed, and procured under enterprise terms rather than team-by-team purchase. TR's AI-native development standard is published, with measurable adoption across the top 12 master products. TR's AI-native reference implementations are published and adopted across product engineering teams. Production quality of AI systems has improved, reflected in fewer architectural exceptions, stronger auditability, and faster time-to-approval for compliant systems. #LI-PFF What's in it For You?

Hybrid Work Model:

We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) 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. 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. Eligible office location(s) for this role include one or more of the following: New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC. The base compensation range for the role in any of those locations is $228,000 USD - $424,000 USD. For any eligible US locations, unless otherwise noted, the base compensation range for this role is $198,200 USD - $368,000 USD. 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. 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