Staff Software Engineer / Architect - AI, CoCounsel FDE
About The Position
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. This opportunity involves leading the end-to-end architecture, design, and delivery of AI-powered solutions for law firms and corporate legal departments, from concept through production deployment. You will review and guide system design, architecture, and code produced by AI Solution Engineers to ensure quality, scalability, security, and maintainability across engagements. You will 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. You will drive AI-native engineering practices across the team by embedding AI into development workflows, tooling, delivery processes, and technical standards. Additionally, you will establish observability, evaluation, and trust frameworks for production AI systems, including monitoring, logging, tracing, model evaluation, and quality benchmarking. You will lead technical discovery with clients and legal stakeholders, translating legal workflows, business goals, and domain expertise into scalable technical architectures and solution plans. You will also 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.
Requirements
- 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.
Responsibilities
- 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.
Benefits
- Flexible work arrangements, including work from anywhere for up to 8 weeks per year
- Continuous learning and skill development opportunities
- Flexible vacation
- Two company-wide Mental Health Days off
- Access to the Headspace app
- Retirement savings
- Tuition reimbursement
- Employee incentive programs
- Resources for mental, physical, and financial wellbeing
- Two paid volunteer days off annually
- Opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives
- Market competitive health, dental, vision, disability, and life insurance programs
- Competitive 401k plan with company match
- Competitive vacation, sick and safe paid time off
- Paid holidays (including two company mental health days off)
- Parental leave
- Sabbatical leave
- Optional hospital, accident and sickness insurance paid 100% by the employee
- Optional life and AD&D insurance paid 100% by the employee
- Flexible Spending and Health Savings Accounts
- Fitness reimbursement
- Access to Employee Assistance Program
- Group Legal Identity Theft Protection benefit paid 100% by employee
- Access to 529 Plan
- Commuter benefits
- Adoption & Surrogacy Assistance
- Access to Employee Stock Purchase Plan
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
