Lead Software Engineer AI; Staff Engineer

Thomson Reuters products power professionals shaping the world across legal, tax, accounting, and audit. As a Lead Software Engineer AI (Staff Engineer AI) on Cloud Audit Suite, you will own backend and AI orchestration systems that transform frontier models into reliable, production-grade workflows 'll also help drive our transition to an AI-native engineering organization where AI accelerates development and engineers provide technical leadership, architecture, and judgment.

As a Lead Software Engineer AI (Staff Engineer), you will be responsible for the architecture and technical direction of Audit Suite.

Define AI engineering patterns for MCP servers, agent frameworks, LLM integration, experimentation, and scalable infrastructure.

Build systems operating across millions of documents, structured financial data, evolving regulations, and thousands of concurrent AI interactions.

Lead across engineering, product, UX, and AI teams to rapidly design and deliver customer-facing solutions.

Set technical direction, mentor senior engineers, and stay hands-on in architecture and code.

Drive platform integration strategy across Thomson Reuters audit systems.

Lead strategic initiatives spanning AI, platform, and infrastructure.

Mentor engineers and elevate system design, code quality, and AI engineering practices.

Partner with AI/ML teams, researchers, designers, and product managers to convert emerging AI capabilities into trusted customer solutions.

Influence roadmap, technical strategy, experimentation, testing, rollout practices, and operational excellence.

Architect and build backend services using C#/.NET, Python, FastAPI, PostgreSQL, AWS, and Vercel that power AI-driven workflows and document-centric experiences.

Develop AI orchestration capabilities including MCP servers, tool calling, workflow routing, guardrails, reliability, and LLM integrations.

Design high-throughput, low-latency AI systems using caching, queuing, rate limiting, failover, and cost optimization strategies.

Build retrieval and search systems leveraging large document collections, vector databases, and indexing technologies.

Establish observability, SLOs, and incident management practices for auditable and trustworthy AI systems.

Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience.

7+ years of software engineering experience, including 2+ years in technical leadership roles and 3+ years building scalable cloud applications, APIs, and AI-enabled products.

Proven track record of shipping production-grade AI systems to customers, including deployment, monitoring, evaluation, scaling, and ongoing operational ownership in enterprise environments.

Strong distributed systems expertise, including APIs, data modeling, observability, resiliency, and performance optimization.

Proven success leading complex projects from architecture through long-term operation.

Deep interest in AI-native software, including LLMs, agents, retrieval, and modern AI development patterns.

CI/CD experience, including Git Hub Actions.

Hands‑on experience integrating LLM platforms such as OpenAI and Anthropic into production applications.

Experience with vector databases, embeddings, semantic search, and retrieval systems.

Experience with C#/.NET, ASP.NET Core, PostgreSQL/SQL Server, and cloud platforms (AWS preferred).

Experience in highly regulated domains such as tax, audit, legal, fintech, or other compliance-focused industries.

New Position:
This position is open due to an existing vacancy to support our evolving business needs.

Hybrid Work Model:
We've adopted a flexible hybrid working environment for our office‑based roles while delivering a seamless experience that is digitally and physically connected.

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…