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About the Role

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.

Responsibilities

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.

Requirements

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.

Skills

Agentic frameworks such as LangGraph, Strands, LangChain, or CrewAI
Designing multi-agent systems, including orchestrator and sub-agent patterns, planning, tool use, and memory
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
MCP servers and gateways for enterprise tool integration
Vector stores, embeddings, and retrieval pipelines
Responsible AI practices, including hallucination mitigation, privacy, governance, and audit logging
Python ML stack (e.g., scikit-learn, PyTorch, Pandas, XGBoost/LightGBM)
Data validation frameworks (e.g., Pandera, Great Expectations, or Pydantic)
AI coding assistants (e.g., Claude Code, Cursor, Copilot)

Location

Ontario, Canada

Work Type

Hybrid Work Model
Work from anywhere for up to 8 weeks per year

Experience Level

Senior

Salary/Compensations

$100,000 CAD - $145,000 CAD

Benefits

Flexible vacation
Two company-wide Mental Health Days off
Access to the Headspace app
Retirement savings
Tuition reimbursement
Employee incentive programs
Resources for mental, physical, and financial wellbeing

About the Company

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.
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.
Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process.
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.

Equal Opportunity

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.