Staff Software Engineer / Architect - AI, CoCounsel FDE

Are you a hands-on technical leader who wants to shape how the world's top law firms and corporate legal departments adopt AI? Thomson Reuters is hiring a Staff Software Engineer / Architect - AI on our CoCounsel Forward Deployed Engineering (FDE) team. In this role, you will lead the architecture and delivery of bespoke, production-grade AI solutions that help legal professionals solve complex, high-stakes workflows with trust, speed, and accuracy. Working closely with AI Solution Engineers, legal domain experts, and cross-functional partners, you will define how we build AI-native systems for some of the most sophisticated legal customers in the world. About the Role In this opportunity as Staff Software Engineer / Architect - AI, you will: Lead the end-to-end architecture, design, and delivery of AI-powered solutions for law firms and corporate legal departments, from concept through production deployment. Review and guide system design, architecture, and code produced by AI Solution Engineers to ensure quality, scalability, security, and maintainability across engagements. Build sophisticated legal AI solutions, including RAG pipelines, multi-agent workflows, event-driven services, and enterprise integrations tailored to legal use cases such as contract review, litigation support, discovery, and regulatory analysis. Drive AI-native engineering practices across the te [... source excerpt omitted ...] ity, evaluation, and trust frameworks for production AI systems, including monitoring, logging, tracing, model evaluation, and quality benchmarking. Lead technical discovery with clients and legal stakeholders, translating legal workflows, business goals, and domain expertise into scalable technical architectures and solution plans. Mentor engineers and partner with product, engineering, and legal experts to advance reusable solution patterns, accelerate delivery, and bring emerging AI capabilities into the team. About You You're a fit for the role of Staff Software Engineer / Architect - AI if your background includes: 7+ years of software engineering experience with deep [... source excerpt omitted ...] expertise in system design, distributed systems, scalable architecture, and technical leadership. Hands-on experience building and deploying AI/ML or LLM-powered applications in production, including strong knowledge of RAG architectures, orchestration frameworks, and evaluation practices. Expert-level proficiency in Python and modern backend engineering, with experience designing RESTful APIs, async systems, and event-driven architectures. Experience with cloud platforms such as AWS, Azure, or GCP, along with Infrastructure as Code and CI/CD practices for secure, scalable deployments. Strong understanding of AI interoperability and agentic systems, including MCP, Agent-to-Age