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Thomson Reuters

Legal, financial data, and media services

Lead AI Experience Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeFrisco, TX, USA

About the Job

Requirements

  • At least 8 years of experience designing and building software, including data-rich, user-facing products, hands-on applied AI or agentic work, and setting technical direction for others.
  • A degree in computer science, human-computer interaction, design, or a related field, or equivalent experience.
  • Deep experience in two of these areas and fluency in the third: front-end and data-visualization engineering, applied AI, and UI/UX design.
  • Ability to structure dense information so users can find what matters and ground design decisions in research with real users, including interviews, task analysis, and usability testing.
  • Experience shipping interactive data visualization in JavaScript or TypeScript, with React and tools such as D3.js, WebGL, or Canvas.
  • Hands-on experience with large language models and agentic systems, including tool calling, retrieval, and agent interoperability protocols such as Model Context Protocol and Agent2Agent.
  • Ability to design APIs, software development kits, and schemas, including REST or GraphQL, JSON Schema, and typed data contracts.
  • Ability to read telemetry and understand what engineers need during an incident and in the subsequent review.
  • Ability to work from engineers’ problems, operate in ambiguity, and make informed decisions about what to build.

Responsibilities

  • Define how AI agents exchange information and hand it to engineers who depend on it.
  • Design and build interactive visualizations of operational telemetry that show what is happening, why, what the system has done, and what still needs human attention.
  • Own the experience end to end, from initial prototype through tools used by teams every day.
  • Build interactive, real-time views of operational data, including topology and dependency graphs, event and alert streams, incident timelines, and predictive signals.
  • Establish interfaces and data contracts that let AI agents exchange structured, verifiable information and present it to engineers in an inspectable form.
  • Make automated L0 resolutions visible, including what the system did, why it did it, and its confidence, so engineers can supervise machine decisions.
  • Lead UI/UX and information architecture by researching responder workflows, deciding what users need to see and when, shaping interaction models, and simplifying incident-response experiences.
  • Turn ambiguous problems into working software quickly and harden the strongest ideas into dependable team tools.
  • Set technical direction and standards for the experience layer, make architectural decisions, and mentor engineers and designers.
  • Partner with AIOps, Service Data and Insights, Configuration and Topology, Workflow Engineering, and the Global Command Center.
  • Replace a line-by-line operational report with an interactive view that answers users’ questions quickly.
  • Publish an agent-to-agent data contract and prove it with two agents working together in production.
  • Ship an interface that lets engineers see and trust every L0 resolution they are accountable for.
  • Establish shared components, guidelines, and working prototypes for the organization.

Desired Qualifications

  • Experience in observability or IT operations across metrics, logs, traces, and events, or with platforms such as ServiceNow Event Management, Dynatrace, Grafana, or Splunk.
  • Experience with graph and network visualization, streaming data, or time-series work at scale.
  • Experience with design systems and accessibility, including WCAG.
  • A portfolio of work.

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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