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# Senior Software Engineer AI

- **Company:** Thomson Reuters Holdings Inc.
- **Location:** Eagan, MN, United States
- **Experience:** Expert
- **Salary:** $110,000.0 - $204,200.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Computing, Distributed Systems, Service-Oriented Architecture, Evaluation Pipelines, Large Language Models, AgentCore, Agentic-AI, Virtual Agents, Drift Detection
- **Published:** October 17, 2026
- **Apply:** https://thomsonreuters.wd5.myworkdayjobs.com/External_Career_Site/job/United-States-of-America-Eagan-Minnesota/Senior-Software-Engineer-AI_JREQ204607-1

## About the Role

* Strong experience architecting and shipping production software systems, including hands-on experience building AI/LLM-powered products or agentic systems (not solely classical ML/data science).
 * Direct experience building with modern LLM APIs, agent frameworks/SDKs, or agent-to-tool integration protocols.
 * Experience owning complex technical projects end-to-end, from design through production delivery.
 * Strong backend engineering fundamentals, including distributed systems design, service architecture, and cloud infrastructure.
 * Experience with production reliability and observability practices: monitoring, evaluation pipelines, incident response, and quality regression detection.
 * Ability to mentor other engineers and contribute to a strong technical culture.
 * Comfort working with high autonomy on a fast-moving, senior-heavy team that builds with AI-native/agentic engineering practices., * Experience with developer-facing platforms, plugin/extension systems, or integration ecosystems.
 * Familiarity with progressive delivery practices (feature flagging, phased rollout, blue/green deployment) at scale.
 * Experience with managed agent runtime infrastructure (e.g., AWS Bedrock AgentCore or similar).
 * Domain expertise in legal, regulated, professional-services, or other fiduciary domains is a plus, but not required.

## Description

What if the AI agents you help build empower legal professionals to act with sharper judgment and greater leverage, using tools that are themselves AI-native and multiply what you and your team can ship?, * Architect and deliver complex AI agent systems end-to-end, including multi-component pipelines, tool integrations, and multi-step reasoning, for the initiatives you own.

 * Build production AI agent systems on top of modern LLM APIs, agent SDKs, and orchestration/runtime infrastructure, integrating cleanly with existing platform services.
 * Contribute to agent observability and evaluation practices (tracing, automated evals, and quality/drift detection) so regressions in agent behavior get caught before they reach customers.
 * Adopt and extend progressive delivery practices, like feature-flagged rollout and earlier-stage quality signals, as the team raises its bar for release velocity and stability.
 * Participate in cross-cutting design reviews and technical decisions (RFCs/ADRs), bringing sound technical judgment to how new systems fit together.
 * Mentor other engineers on the team, sharing expertise and modeling how to use AI-native, agentic development practices effectively.
 * Collaborate with product and engineering peers to translate requirements into solid technical designs.