Senior AI Integration Engineer — Enterprise Pipelines (Hybrid)

Thomson Reuters; New York, Frisco, Chicago, Ann Arbor (NY, TX, IL, MI); Hybrid; USD 118,000 - 220,000; Full time

Benefits offered by this job

Hybrid work model

Competitive benefits package

401(k) with company match

Job summary

Thomson Reuters seeks a Senior Integration Engineer – AI to connect AI solutions with tax and audit products and client systems. You will own enterprise integrations from scoping to delivery, building reliable pipelines and data mappings for financial information.

You will collaborate with public accounting firms, corporate tax teams, and engineering to create reusable assets, ensure data quality, and maintain secure, scalable integrations using APIs, MCP servers, and cloud platforms.

Qualifications

• 5+ years of software engineering with APIs and data integration.
• Strong Python or C#/.NET and SQL.
• Experience building AI data pipelines: parsing, chunking, embeddings.
• Experience integrating ERP/financial systems like SAP/Oracle/Workday.
• Cloud deployments on AWS or Azure with CI/CD and secure auth.
• Clear communication with technical and finance stakeholders.

Responsibilities

• Deliver enterprise integrations connecting AI with Thomson Reuters products and client systems.
• Build reliable data pipelines with parsing, chunking and vector search.
• Enable AI agents to interact with enterprise systems via APIs and connectors.
• Define data quality checks, schema validation and readiness standards.
• Protect client data with secure auth, SSO and least-privilege access.
• Create reusable integration assets with tests and deployment patterns.
• Ensure production reliability with monitoring and runbooks.

Skills

APIs & data integration

Python

C#/.NET

SQL

REST APIs

AWS/Azure

Data quality controls

Stakeholder communication

Tools

SAP

Oracle

Workday

Job description

Thomson Reuters seeks a Senior Integration Engineer – AI to connect AI solutions with tax and audit products and client systems. You will own enterprise integrations from scoping to delivery, building reliable pipelines and data mappings for financial information.

You will collaborate with public accounting firms, corporate tax teams, and engineering to create reusable assets, ensure data quality, and maintain secure, scalable integrations using APIs, MCP servers, and cloud platforms.