Note: The job is a remote job and is open to candidates in USA. Thomson Reuters provides platforms and products for legal, tax, accounting, audit, and other professional users. The Principal Software Engineer will serve as the technical architect and hands-on design leader for Cloud Audit Suite, leading AI strategy, backend architecture, integrations, and scalable AI-native systems across multiple product and technology teams.
Responsibilities
- Own the architecture, system design and AI strategy: You will be the principal engineer responsible for the architecture and system design of Cloud Audit Suite and new integrations to Confirmation and CoCounsel Audit via agents, APIs, MCP connections and shared components and repositories
- Drive AI strategy for Cloud Audit Suite and help deliver the company's AI strategy. Set the technical direction for how we build MCP servers, design agents, find novel uses of LLMs, run experimentation, and stand up scalable solutions. Your decisions will influence multiple product lines, not just a single feature
- Work at real production scale: Build and evolve systems that operate over millions of documents, structured and unstructured data, audit compliance rules, and thousands of concurrent AI interactions from accountants doing time‑sensitive work
- Small teams, big surface area: Interact and lead across several teams of engineers, product, UX design and AI Labs partners to research, design and ship products quickly, with direct access to product leadership and customers
- Partner with the CoCounsel Audit Principal Engineer to determine the best ways to integrate Cloud Audit Suite (CAS) and CoCounsel Audi via MCP servers and tools, shared APIs, and agent-to-agent (A2A) integrations
- Lead multi‑quarter initiatives that cut across product engineering, product, labs, UX design and infrastructure/operations teams
- Mentor staff and senior engineers, raising the bar on system design, code quality, and AI-native engineering practices, including AI-assisted and AI-generated development with humans in the loop, across the org
- Be the expert in new model capabilities and scalable AI integration strategies, collaborating closely with AI/ML engineers, researchers, designers, and PMs to translate industry improvements into reliable, user‑facing workflows that accountants trust
- Help shape the team’s roadmap, technical strategy, and engineering culture – from experimentation practices to design, coding, testing, rollout, support and postmortems
- Own the end-to-end architecture and design of backend services (C#/.NET, Python, FastAPI, PostgreSQL, AWS, Vercel) that integrate and orchestrate across heterogeneous systems and technology stacks, powering generative AI agents, complex workflows and document‑centric experiences
- Build and evolve AI orchestration: routing, tool calling, MCP servers, multi‑step workflows, safety and guardrails, and robust error handling around third‑party LLMs (OpenAI, Anthropic, and others)
- Design for high‑throughput, low‑latency AI workloads: caching, queuing, rate‑limiting, model failover, and cost/performance tradeoffs
- Work with large‑scale data: millions of documents, retrieval and search, vector stores, and indexing strategies tailored to tax, account and audit use cases
- Help establish and refine SLOs, observability, and incident response for AI systems that must be correct, auditable, and trustworthy in professional workflows
Skills
- Bachelors Degree in Computer Science, Computer Engineering, Related Field, or Equivalent Experience
- 8-10+ years of experience in full-stack application development, including hands-on architecture and design leadership for large-scale systems, building scalable web services and APIs
- C#, .NET expertise and experience with production systems using frameworks like ASP.NET Core (or similar), relational databases (SQLServer, PostgreSQL or equivalent), and a major cloud provider (AWS preferred, Azure)
- Experience with Python in AI/ML system development, including model integration, data pipelines, or API-based orchestration
- Familiarity with actor model patterns and frameworks (Orleans, Akka, etc.) for resilient, message-driven distributed architectures
- Experience architecting and implementing accessible front-end solutions, including: JavaScript, Typescript, HTML, CSS; experience with modern JavaScript frameworks, e.g., Angular, React, etc
- Demonstrated experience and passion for AI systems and new engineering paradigms: LLMs, agents, retrieval, or similar – you care about what “AI‑native” software should look like and know what guardrails to put in place
- Strong background in distributed systems and cross-system integration: data modeling, API contracts, integrating across heterogeneous services and technology stacks, observability, resilience patterns, and performance tuning under load
- Proven track record owning large, complex projects end‑to‑end: architecture, execution, rollout, and long‑term support and maintenance
- Excellent communication skills and the ability to partner with product, design, UX design and ML teams in a fast-moving environment
- Experience designing and implementing CI/CD pipelines (i.e., GitHub Actions)
- Hands‑on experience integrating LLM APIs (e.g., OpenAI, Anthropic) into production applications, including prompt/response management, cost controls, and safety considerations
- Experience with AI‑adjacent infrastructure: vector databases, embeddings, semantic search, or custom retrieval pipelines
- Experience having direct interaction and communications with customers
- Opinions and experience around automated testing, reliability, and release practices for systems with nondeterministic model behavior
- Prior experience in domains where correctness, auditability, and compliance matter (fintech, tax, audit, legal, or similar), or strong interest in applying AI in those contexts
Benefits
- 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.
- Flex My Way supportive workplace policies for managing personal and professional responsibilities.
- Flexible work arrangements, including work from anywhere for up to 8 weeks per year.
- Career development and growth through continuous learning, skills development, Grow My Way programming, and a skills-first approach.
- 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.
- In the United States, comprehensive 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.
Company Overview
Company H1B Sponsorship