Thomson Reuters
Lead AI Experience Engineer
$137K–$255K
United States of America, Frisco, Texas · Hybrid · Full-time · Posted Oct 26, 2026
- Experience
- 8+ years; includes software design and development, data-rich user-facing products, applied AI or agentic work, and setting technical direction.
- Education
- Degree in computer science, human-computer interaction, design, or a related field, or equivalent experience.
About the job
Leads the design and development of AI-enabled operational interfaces, interactive data visualizations, and agent communication standards for internal engineering and service teams.
What you'll do
- Build and ship real-time visualizations that help teams understand operational data, incidents, and automated actions.
- Define verifiable data contracts for AI agents and make their decisions inspectable by engineers.
- Lead UI/UX and information architecture, set technical direction, and mentor engineers and designers.
What they ask for
- 8+ years designing and building software, including data-rich user-facing products, hands-on applied AI or agentic work, and setting technical direction; degree in a related field or equivalent experience.
- Deep experience in two of front-end/data-visualization engineering, applied AI, and UI/UX design, with fluency in the third.
- Production experience shipping interactive visualizations using JavaScript or TypeScript, React, and tools such as D3.js, WebGL, or Canvas.
- Hands-on experience with LLMs and agentic systems; experience designing APIs, SDKs, schemas, and typed data contracts.
Nice to have
- Observability or IT operations experience, including metrics, logs, traces, and events, or experience with named monitoring platforms.
- Graph or network visualization, streaming or time-series data at scale, design systems, accessibility, or a portfolio.
Pay
$137,100 USD - $254,700 USD (base salary)
Tools
JavaScript, TypeScript, React, D3.js, WebGL, Canvas, Model Context Protocol (MCP), Agent2Agent (A2A)
AI focus
Builds interfaces for AI agents, defines agent-to-agent data contracts, and makes automated operational decisions and resolutions visible and reviewable.
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