Senior AI Engineer, Agentic AI

Senior AI Engineer, Agentic AI

Thomson Reuters is seeking a Senior AI Engineer, Agentic AI to build and ship LLM-powered agents for our go-to-market organization. Our agent platform brings the tools sales teams use today into one AI-agent hub. You will build specialist agents that are scalable, reliable, and secure, and help set the engineering patterns the team relies on as it grows.

About the Role

As a Senior AI Engineer, you will:

• Design, develop, and deploy production LLM agents end to end, including multi-step workflows, retrieval-augmented generation (RAG), prompt design, tool and function calling, and structured-output validation.
• Build specialist agents that ingest data from enterprise systems, extract actionable signals, and recommend next steps through a human-in-the-loop review.
• Build and operate evaluation and observability that make agents trustworthy: guardrails, automated evals, drift detection, and production monitoring.
• Integrate agents with AWS infrastructure and enterprise APIs, including MCP servers where approved.
• Contribute to shared agent patterns so new agents reuse common context, guardrail, and evaluation components rather than rebuilding them.
• Craft and sustain design documentation, architecture decision records, and system models.
• Collaborate with platform, data integration, and governance engineers, plus product stakeholders, to turn business requirements into robust designs.
• Provide technical guidance and code and design reviews, and mentor engineers as the team builds its agentic capability.

About You

You are a potential fit for the role of Senior AI Engineer, Agentic AI if you possess:

• At least 2 years of experience delivering practical applied AI or machine learning solutions that improve user efficiency and reliability.
• Hands-on experience building production LLM applications, including RAG, prompt engineering, and tool or function calling.
• Practical experience building agent workflows with guardrails, evaluation, and reliability in mind.
• Strong Python programming skills, with modular, well-tested, production-grade code.
• Experience with AWS services (such as ECS, Bedrock, SageMaker, or Secrets Manager), including networking and security principles.
• Experience deploying services with Docker, CI/CD pipelines, and infrastructure as code.
• SQL and data integration experience, including working with cloud data warehouses and enterprise APIs.
• A working understanding of the machine learning lifecycle (feature engineering, training, evaluation, monitoring), sufficient to collaborate with data scientists and ML engineers.
• Experience leading or supporting engineers through code and design reviews.
• Clear technical communication, with a bias toward information sharing and diverse viewpoints.
• A creative, resourceful, and effective problem-solving approach.

Bonus Points

• Hands-on experience with agentic frameworks such as LangGraph, Strands, LangChain, or CrewAI.
• Experience designing multi-agent systems, including orchestrator and sub-agent patterns, planning, tool use, and memory.
• Experience integrating with enterprise sales or GTM platforms (such as Salesforce, Gong, or Conga), or familiarity with sales concepts like opportunity management, pipeline analytics, or MEDDPICC.
• Experience with MCP servers and gateways for enterprise tool integration.
• Knowledge of vector stores, embeddings, and retrieval pipelines.
• Familiarity with responsible AI practices, including hallucination mitigation, privacy, governance, and audit logging.
• Experience with the Python ML stack (e.g., scikit-learn, PyTorch, Pandas, XGBoost/LightGBM) and data validation frameworks (e.g., Pandera, Great Expectations, or Pydantic).
• Effective use of AI coding assistants (e.g., Claude Code, Cursor, Copilot) in a team setting

#LI-SM2

 

 

Replacement: This position is open due to an existing vacancy to support our evolving business needs.

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

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 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.

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