Senior Integration Engineer – AI - Tax And Audit AI

Thomson Reuters • Brooklyn, NY

3d • Hybrid

About The Position

The Senior Integration Engineer will bring AI into the systems used by tax and audit professionals by connecting AI solutions with Thomson Reuters products and client enterprise systems. The role sits within Forward Deployed Engineering and partners directly with public accounting firms, corporate tax departments, and engineering teams to build reliable integrations and reusable solutions across client engagements.

The engineer owns standard client integrations from scoping through delivery and handoff, and leads integration work within larger engagements. The role builds data and retrieval pipelines for financial documents and data, enables AI agents to work with enterprise systems, and establishes controls for data quality, security, and production reliability. It also creates reusable integration assets, documentation, tests, and deployment patterns, collaborating with technical consulting, product engineering, platform, and site reliability teams.

This is a hybrid role. Thomson Reuters describes a flexible hybrid working environment for office-based roles. The position may be based in eligible locations in the United States or Ontario, Canada. The US base compensation range is $118,400–$219,800 for eligible US locations generally, with a range of $136,000–$253,000 for specified higher-cost locations; the Ontario range is $100,000–$145,000 CAD. The role may also be eligible for an annual bonus based on enterprise and individual performance.

Requirements

• At least five years of software engineering experience, with substantial hands-on experience in APIs, data integration, middleware, or enterprise system connectivity.
• Strong proficiency in Python and/or C#/.NET.
• Solid SQL skills.
• Experience building REST APIs, event-driven integrations, and file- or batch-based data exchanges.
• Hands-on experience building AI data pipelines, including document parsing, chunking, embeddings, vector databases, and retrieval quality measurement.
• Experience integrating ERP or financial systems, such as SAP, Oracle, or Workday, and implementing data quality and validation controls.
• Experience deploying cloud applications on AWS or Azure using automated build and deployment pipelines and containers.
• Working knowledge of secure authentication and access management.
• Ability to communicate clearly with technical and finance stakeholders, solve ambiguous integration problems, take ownership of delivery, collaborate across teams, and exercise sound judgment about data quality and security.

Nice To Haves

• Experience with Thomson Reuters products such as UltraTax CS, GoSystem Tax RS, ONESOURCE, GoFileRoom, or Checkpoint, or comparable tax and accounting software.
• Familiarity with tax and accounting workflows, legacy .NET and SQL Server systems, or electronic tax filing XML formats.
• Experience with large language model tool use, function calling, or Model Context Protocol.
• Background in client-facing professional services or consulting delivery.

Responsibilities

• Deliver enterprise integrations connecting AI solutions with Thomson Reuters tax and audit products, ERP systems, document management platforms, and data warehouses.
• Own standard client integrations from scoping through delivery and handoff, and lead integration work within larger engagements.
• Build reliable data and retrieval pipelines that parse documents, preserve tables and forms, and support chunking, embeddings, and vector search.
• Establish data mapping, transformation, and validation for financial information such as trial balances, tax returns, K-1s, and workpapers.
• Enable AI agents to interact with enterprise systems through APIs, MCP servers, and connectors, using shared platform capabilities where available and supporting legacy applications and file-based exchanges.
• Define data readiness standards and automated quality checks, including schema validation, reference datasets, and model-assisted evaluations, to identify the impact of upstream data changes on AI results.
• Protect sensitive client information through secure authentication, single sign-on, tenant separation, secrets management, and least-privilege access.
• Create reusable integration assets with automated tests, clear documentation, and deployment patterns to improve delivery efficiency on future engagements.
• Support production reliability through monitoring, failure handling, and operational runbooks.
• Partner with technical consulting, product engineering, platform, and site reliability teams on deployment and support.

Benefits

• Flexible vacation and paid time off, including sick and safe time and paid holidays.
• Two company-wide Mental Health Days off annually.
• Access to the Headspace app and Employee Assistance Program.
• Retirement savings plan with company match.
• Tuition reimbursement.
• Employee incentive programs and possible annual bonus.
• Health, dental, vision, disability, and life insurance.
• Parental leave and sabbatical leave.
• Flexible Spending Accounts and Health Savings Accounts.
• Fitness reimbursement.
• Commuter benefits.
• Adoption and surrogacy assistance.
• Employee Stock Purchase Plan.
• Two paid volunteer days off annually.
• Flexible work arrangements, including work from anywhere for up to eight weeks per year.
• Professional growth and skills-development programming.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed