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Thomson Reuters

Legal, financial data, and media services

Principal Software Engineer / Architect - AI, Legal FDE

AI Application Engineering +1Posted on Nov 9
Full-time

About the Job

Requirements

  • At least 12 years of software engineering experience, with deep expertise in system design, distributed systems, and architecture, and a track record of leading highly complex, high-risk projects.
  • Extensive experience owning technical requirements and strategy, setting technology roadmaps, and prioritizing between competing features and investments.
  • Expert hands-on experience building and deploying AI/ML and large language model-powered applications in production.
  • Deep proficiency with orchestration frameworks such as LangChain, LangGraph, PydanticAI, or AutoGen, and expert understanding of retrieval-augmented generation architectures and vector databases.
  • Hands-on experience with Model Context Protocol and Agent-to-Agent patterns for interoperable, tool-augmented AI systems.
  • Expert Python, with FastAPI or an equivalent, and strong experience with RESTful, asynchronous, and event-driven architectures.
  • Experience with a major cloud platform such as AWS, Azure, or GCP, and Infrastructure as Code such as Terraform, CDK, or an equivalent.
  • Production observability experience with Datadog, Grafana, Prometheus, or similar tools, and experience with AI evaluation platforms such as LangSmith, Langfuse, Braintrust, or W&B.
  • Strong background in secure API development using OAuth 2.0, OpenID Connect, and JWT.
  • Demonstrated fluency with AI-assisted development tools such as Claude Code, Cursor, and GitHub Copilot, and a track record of driving AI-native engineering practices.
  • Proven ability to influence across teams and domains, advise senior leadership, and communicate complex ideas at multiple organizational levels.
  • Ability to work autonomously, exercise sound judgment, operate amid ambiguity in a fast-paced agile environment, and maintain attention to detail.
  • Recognition as a technical role model and leader in the field.

Responsibilities

  • Define and drive FDE's long-term technical vision and strategy, including vision documents, technology requirements, and roadmaps tied to product and business objectives.
  • Lead the selection, evaluation, and adoption of technologies, frameworks, and patterns, and build consensus across teams.
  • Identify where emerging capabilities such as agentic systems, MCP and A2A interoperability, and new model and orchestration patterns could cause transformational shifts, and communicate opportunities and trade-offs to senior leadership.
  • Contribute to cross-functional and cross-business-unit engineering strategy, standards, and, where appropriate, patents.
  • Lead complex, high-risk, high-visibility AI initiatives from concept through production, remaining hands-on in design, prototyping, and code for the hardest problems.
  • Architect scalable, secure AI systems that integrate with client environments, including document management systems, enterprise platforms, and legal technology ecosystems.
  • Design RAG pipelines, multi-agent orchestration, event-driven backends, and agentic workflows using CoCounsel, Westlaw, and Practical Law capabilities, as well as third-party AI APIs.
  • Build reusable AI components, frameworks, and solution templates that scale delivery across the team.
  • Set standards for MLOps/LLMOps, Infrastructure as Code, and CI/CD so delivery is secure, repeatable, and fast.
  • Identify weaknesses in existing designs and drive remedies.
  • Set the strategy for AI monitoring and observability, covering performance, output quality, latency, cost, and production reliability risk.
  • Own LLM evaluation, including accuracy, hallucination risk, citation quality, A/B testing, and red-teaming, and define quality benchmarks grounded in real legal workflows.
  • Ensure every solution meets ethical AI, data protection, and enterprise security requirements.
  • Drive operational excellence across the software development lifecycle, including post-launch measurement.
  • Act as the senior technical voice in discovery on high-value engagements by scoping use cases, shaping architectures, and building credibility with legal and technical executives.
  • Present complex technical concepts and strategy to audiences ranging from engineers to business unit executives, and negotiate solutions between key stakeholders.
  • Work with legal subject-matter experts to translate professional reasoning and domain heuristics into pipeline design, evaluation criteria, and benchmarks.
  • Anticipate customer and market needs and feed field insights back into the product roadmap.
  • Mentor and coach Staff, Senior, and Lead engineers, and indirectly lead a small team of engineers and technical experts on ambiguous problems.
  • Review architecture and design at team and sub-unit levels and give authoritative feedback.
  • Strengthen engineering culture through knowledge sharing and by championing AI-native tools and practices.
  • Work with program and project managers to bring the technical dimension into status and risk reporting, and consult on budgets for large programs where applicable.
  • Represent Thomson Reuters externally through speaking, publications, community engagement, or open-source and standards participation.

Desired Qualifications

  • Experience in a regulated industry such as legal, fintech, or healthcare, with familiarity with compliance and data privacy requirements.
  • Experience building agentic AI systems with autonomous decision-making.
  • Familiarity with legal platforms, document management systems, and legal technology ecosystems.
  • Experience with container orchestration such as Docker/Kubernetes and MLOps/LLMOps lifecycle management.
  • Understanding of transformer model scaling, limitations, and fine-tuning.
  • External presence through conference talks, publications, patents, open-source contributions, or standards participation.
  • Experience developing vision documents and leading cross-business-unit technology strategy.

About the Company

Thomson Reuters

Legal, financial data, and media services

Thomson Reuters provides intelligent information and professional services for law, tax, finance, and media. It serves law firms, corporations, government agencies, and financial institutions with platforms like legal research (Westlaw), tax software (UltraTax CS), financial market data, and news services. These products are accessed through subscription-based platforms, ensuring ongoing updates and a steady revenue stream. The company also monetizes through advertising on media platforms and data analytics sales. It distinguishes itself by offering a broad, integrated suite of industry-specific tools combined with AI, cognitive computing, and machine learning to improve accuracy, efficiency, and predictive analytics in research and data insights. Its goal is to be a trusted partner that helps professionals make informed decisions by delivering reliable information and decision-ready tools while pursuing responsible, values-driven initiatives.

Company size
10,001+
Company stage
IPO
Headquarters
Toronto, Canada
Founded
1851

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