Staff Software Engineer / Architect - AI, CoCounsel FDE

Thomson Reuters
RemotePosted 17 May 2026

Job Description

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 team by embedding AI into development workflows, tooling, delivery processes, and technical standards. Establish observability, 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 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-Agent workflows, third-party integrations, and tool-augmented architectures. Experience with observability, monitoring, and AI quality tooling such as Datadog, Grafana, Prometheus, LangSmith, Langfuse, Braintrust, or similar platforms. Excellent communication and stakeholder management skills, with the ability to engage credibly with engineers, legal professionals, and business leaders in ambiguous, high-impact environments. #LI-LP2 What’s in it For You? Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming an ... (truncated, view full listing at source)
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