AI & Automation Engineer
The AI & Automation Engineer is an embedded practitioner, builder, and multiplier — sitting at the intersection of data engineering, AI systems, and operational workflows to assess, redesign, and transform complex manual processes into intelligent, automated operations.
This role requires fluency in both AI and automation as distinct disciplines. You will assess and redesign existing operational processes before determining where deterministic automation, agentic AI, or a combination of both is the right solution — replacing manual, fragmented processes with streamlined, end-to-end intelligent systems that reduce friction, accelerate decisions, and embed intelligence directly into how work gets done.
This is an embedded role operating within the Enterprise Analytics Center of Excellence, partnering closely with Data & Analytics team members, operations owners, and non-technical stakeholders to identify opportunities, design solutions, and drive adoption. You will build scalable systems that integrate data, AI, and user interaction — including natural language access to data and automated, push-based intelligence — embedding intelligence directly into how teams work.
About the Role
In this opportunity as an AI & Automation Engineer, you will:
Operational AI Automation
- Assess and redesign existing operational processes to determine the right solution — deterministic automation, agentic AI, or a combination — before building
- Design and deploy event-driven, threshold-based intelligence systems that replace manual reporting
- Build AI-generated narrative and push communication systems that deliver personalized, context-rich insights and initiate or guide action within operational workflows
- Develop interactive feedback loops that allow recipients to respond to AI-surfaced signals (e.g., "this is expected," "I have questions," "investigate further") and route those responses appropriately
- Automate routine operational notifications (e.g., risk flag escalation) end-to-end with minimal human-in-the-loop dependency
Natural Language Query (NLQ) & AI Integration
- Integrate large language model (LLM) capabilities with semantic data models to enable non-technical users to directly interrogate data in natural language
- Partner with the team's semantic and architect subject area experts to ensure semantic models are AI-grade — well-defined, explainable, and optimized for NLQ intent
- Build and maintain prompt frameworks, evaluation approaches, and guardrails that ensure AI outputs are reliable, auditable, and aligned with business context
Systems Architecture & Reference Implementation
- Design and deliver robust, scalable reference implementations that serve as the foundation for broader adoption
- Define patterns and guardrails for building AI-enabled systems, enabling consistent and extensible approaches across the team
- Establish high-quality, maintainable solutions that are designed for reuse, durability, and evolution
Coaching & Capability Building
- Partner with team members to share knowledge and evolve solutions into team-owned, repeatable capabilities
- Guide team members in designing and operating AI-enabled systems, helping shift from manual processes to automated, intelligent workflows
- Engage business leaders and operations owners to identify high-value automation and AI opportunities, define success criteria, and drive adoption of deployed solutions
- Contribute to the team’s technical direction by staying current on emerging AI and automation practices and bringing relevant innovations into the team’s approach
About You:
You’re a fit for the role of AI & Automation Engineer if you have:
Required Qualifications
- Demonstrated experience designing and deploying AI-powered systems used within operational workflows, including agentic workflows, orchestration, context engineering, and production-grade implementation with built-in evaluation and reliability
- Strong understanding of data foundations, including preparing data for AI use and working with semantic models and structured pipelines
- Experience integrating AI/LLM capabilities with structured data sources (e.g., semantic layers, data warehouses, APIs)
- Ability to design systems end-to-end, from data signal to AI reasoning to user-facing output
- Strong documentation practices, with a focus on building solutions that are maintainable and extensible by others
- Interest in mentoring and enabling others, contributing to overall team capability and adoption
- Ability to assess and map existing business processes, identifying where AI, automation, or process redesign delivers the most value
- Experience with event-driven architectures and designing trigger-based or real-time processing systems
- Experience designing context-aware AI systems, including retrieval-augmented generation (RAG) using structured business metadata
Preferred Qualifications
- Familiarity with semantic modeling approaches and how they support natural language and AI use cases
- Experience integrating AI into user-facing experiences, such as conversational interfaces or intelligent notification systems
- Experience with orchestration and automation tools (e.g., dbt, Power Automate, Azure Data Factory)
- Understanding of AI operational practices, including evaluation frameworks, monitoring model performance, human-in-the-loop design, and escalation handling
- Experience in forward-deployed, embedded, or consultative engineering roles, with an emphasis on stakeholder partnership and solution adoption
#LI-SP1
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.
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.
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.
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More information about Thomson Reuters can be found on thomsonreuters.com.
Skills Required
- Designing and deploying AI-powered systems within operational workflows, including agentic workflows, orchestration, context engineering, and production-grade implementation with evaluation and reliability
- Strong understanding of data foundations, including preparing data for AI use and working with semantic models and structured pipelines
- Experience integrating AI/LLM capabilities with structured data sources (semantic layers, data warehouses, APIs)
- Ability to design systems end-to-end from data signal to AI reasoning to user-facing output
- Strong documentation practices to build maintainable, extensible solutions
- Interest in mentoring and enabling others, contributing to team capability and adoption
- Ability to assess and map existing business processes to identify AI, automation, or process redesign opportunities
- Experience with event-driven architectures and designing trigger-based or real-time processing systems
- Experience designing context-aware AI systems, including retrieval-augmented generation (RAG) using structured business metadata
- Familiarity with semantic modeling approaches that support natural language and AI use cases
- Experience integrating AI into user-facing experiences, such as conversational interfaces or intelligent notification systems
- Experience with orchestration and automation tools (e.g., dbt, Power Automate, Azure Data Factory)
- Understanding of AI operational practices, including evaluation frameworks, monitoring model performance, human-in-the-loop design, and escalation handling
- Experience in forward-deployed, embedded, or consultative engineering roles with stakeholder partnership and solution adoption
Thomson Reuters Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Thomson Reuters and has not been reviewed or approved by Thomson Reuters.
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Flexible Benefits — Flexible work options such as hybrid schedules and “Flex My Way” with Work From Anywhere allowances (including limited weeks abroad) are offered and positioned to support work-life balance. Feedback suggests policy-backed flexibility is a notable strength even though application can vary by role and manager.
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Leave & Time Off Breadth — Generous paid time off, enhanced bereavement, caregiver leave, two global mental-health days, and a sabbatical program expand time-away options. Paid parental leave is explicitly highlighted, with a global minimum described at 16 weeks.
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Healthcare Strength — Comprehensive medical, dental, and vision coverage is paired with wellbeing resources such as EAP, mental-health tools, and fitness/wellbeing programs. FSAs/HSAs and related health benefits reinforce the depth of the healthcare offering.
Thomson Reuters Insights
What We Do
Thomson Reuters (NYSE / TSX: TRI) informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. The company serves professionals across legal, tax, accounting, compliance, government, and media. Its 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. For more information, visit tr.com.
