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Thomson Reuters Holdings Inc. seeks a senior AI engineering leader to design, build, and govern a library of AI skills and agents powering marketing workflows.
You will lead a hands-on team of AI engineers, drive end-to-end production capabilities from briefs to channel-ready outputs, and partner with engineering and data science to ensure compliant, portable solutions that scale across the organization.
This leader turns our marketing AI strategy into working capability. The strategy and priorities are set; this role makes them real in production, at the quality bar a company serving legal, tax, and risk professionals demands. You own AI skills development: the design, build, versioning, and governance of the library of AI skills and agents that power marketing workflows end to end. You lead a team of AI engineers and are a hands‑on builder yourself, not solely a manager. Delivering the strategy also depends on Teams you do not own, including engineering and data science functions; you will partner with and coordinate those Teams as dependencies, setting clear interfaces and holding delivery on track across them. Success is not a longer list of tools or adoption dashboards. It is complete marketer workflows that work, from brief through content through channel, a foundation that is compliant and portable, and clear ownership of quality so AI improves outcomes without introducing regressions. Our internal AI credibility is a direct extension of our external brand, and this role protects it.
Own AI skills development: architect, build, version, and maintain the skills and agents that power marketing workflows, and set the standards others build to. Lead and grow a team of AI engineers, and stay hands‑on enough to build alongside them and set the technical bar. Convert the prioritized AI use‑case portfolio into shipped, measurable capability against committed timelines and quality standards. Manage cross‑functional dependencies: partner with and coordinate the engineering and data science Teams the strategy relies on, defining clear interfaces, sequencing, and accountability so delivery does not stall between teams. Deliver end‑to‑end workflows rather than fragments, enabling whole tasks from brief to finished, channel‑ready output. Build the compliance foundation first: legal, privacy, accessibility, and content‑integrity checks as reusable building blocks that everything else sits on top of. Establish engineering governance: a single accountable owner per skill, versioning and review discipline, monitoring for quality regressions, cost control, and guardrails for higher‑risk autonomous use cases. Engineer for portability and avoid platform lock‑in, so investment is not stranded by future platform decisions. Instrument outcomes that matter, including pipeline contribution, hours redeployed, time‑to‑insight, adoption and quality, and raise the standard for accountability and workflow redesign, not just speed. Partner with enterprise engineering, IT, and commercial and revenue operations so marketing AI integrates cleanly with the wider technology and commercial architecture.
Required Hands‑on experience architecting and shipping production AI applications: agentic workflows, skill and context engineering, orchestration, retrieval, and tool and API integration. You have built these systems, not just overseen them. A strong technical foundation in data engineering, analytics engineering, business intelligence, or software engineering: data pipelines, modern data platforms and warehouses, and the discipline to build for scale, quality, and governance. Deep data engineering experience counts fully here. A track record of building a capability or platform from scratch and scaling it to real, sustained usage. Experience leading engineers as a hands‑on builder‑leader, setting technical direction and raising the bar of those around you. Proven ability to deliver through influence and partnership across Teams you do not own, managing dependencies and holding cross‑functional delivery on track. Sound judgment on quality, risk, and governance in production AI, and the instinct to say no to work that will not clear a value or quality bar. Bachelor's degree or equivalent practical experience. We care more about what you have built than where you studied. Experience in marketing, growth, or commercial and Go‑to‑market contexts, or building tooling adopted by those functions. Preferred Familiarity with common marketing, data, and commercial technology stacks, including marketing automation, CRM, web and content platforms, and BI and data‑transformation tooling. Data science experience such as propensity, attribution, or segmentation modeling. Experience in a regulated or high‑accuracy industry, such as legal, tax, financial services, or healthcare, where compliance and correctness are non‑negotiable. A record of shipping AI or automation capability that a business function adopted at scale. #LI-TV1
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. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. More information about Thomson Reuters can be found on thomsonreuters.com At Thomson Reuters, we’re not riding the AI wave — we’re reshaping the future of professional work across law, tax, compliance, and journalism. Here, you will collaborate with smart, ambitious people who thrive on solving complex problems, delivering market‑leading solutions, and innovating with curiosity and care.