Job Description

Salary: $137,100 - 254,700 per year Requirements:

• We bring 7+ years of software engineering experience, with strong depth in system design, distributed systems, scalable architecture, and technical leadership.
• We have hands-on experience building and shipping AI/ML or LLM-driven products in production, including solid knowledge of RAG patterns, orchestration frameworks, and evaluation methods.
• We are highly proficient in Python and modern backend engineering, with experience designing RESTful APIs, asynchronous systems, and event-driven architectures.
• We have experience with cloud environments such as AWS, Azure, or Google Cloud Platform, plus Infrastructure as Code and CI/CD practices for secure, scalable releases.
• We understand AI interoperability and agentic systems, including MCP, agent-to-agent workflows, third-party integrations, and tool-augmented architectures.
• We have experience using observability, monitoring, and AI quality tools such as Datadog, Grafana, Prometheus, LangSmith, Langfuse, Braintrust, or similar platforms.
• We communicate clearly and manage stakeholders well, with the ability to work credibly with engineers, legal professionals, and business leaders in ambiguous, high-impact settings.

• We lead the full lifecycle architecture, design, and delivery of AI-enabled solutions for law firms and corporate legal teams, from idea to production rollout.
• We review and shape system design, architecture, and code from AI Solution Engineers to ensure quality, scalability, security, and long-term maintainability.
• We build advanced legal AI systems, including RAG pipelines, multi-agent workflows, event-driven services, and enterprise integrations for use cases such as contract review, litigation support, discovery, and regulatory analysis.
• We champion AI-native engineering practices by weaving AI into development workflows, tooling, delivery processes, and technical standards.
• We put in place observability, evaluation, and trust mechanisms for production AI systems, including monitoring, logging, tracing, model assessment, and quality benchmarking.
• We lead technical discovery with clients and legal stakeholders, turning legal workflows, business objectives, and domain expertise into scalable architectures and solution roadmaps.
• We mentor engineers and collaborate with product, engineering, and legal specialists to strengthen reusable patterns, speed up delivery, and adopt emerging AI capabilities.

• AI
• AWS
• Architect
• Azure
• Backend
• CI/CD
• Cloud
• Datadog
• Grafana
• Support
• LLM
• Langfuse
• MCP
• Prometheus
• Python
• RAG
• Security

More:

We are Thomson Reuters, a global company that combines trusted content and technology to help professionals make better decisions and pursue justice, truth, and transparency. Our CoCounsel Forward Deployed Engineering team works on sophisticated AI solutions for leading law firms and corporate legal departments, and this Staff Software Engineer / Architect - AI role is focused on shaping production-grade systems with trust, speed, and accuracy. We offer flexible work arrangements, including up to 8 weeks of work from anywhere each year, strong career development support, and a comprehensive benefits package covering health, retirement, time off, wellbeing, tuition reimbursement, and more. Our culture emphasizes inclusion, belonging, customer focus, continuous learning, social impact, and making a real-world difference across legal, tax, accounting, compliance, government, and media.

last updated 33 week of 2026

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