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 Headspac