AI-Driven Enterprise Integration Engineer for Tax & Audit

Thomson Reuters; Eagan (MN); Hybrid; USD 118,000 - 220,000; Full time

Benefits offered by this job

Hybrid Work Model

Flexible vacation

Tuition reimbursement

Employee incentive programs

Mental health days

Job summary

Thomson Reuters is seeking a Senior Integration Engineer to connect AI solutions with tax and audit products, client enterprises, and ERP systems. You will own integration delivery from scoping to handoff, building reliable data pipelines and reusable assets across engagements.

You will work with APIs, MCP servers, and connectors, ensuring data quality, security, and scalable integration patterns while collaborating with engineering and advisory teams globally.

Qualifications

• Five+ years of software engineering experience with APIs, data integration, middleware or enterprise connectivity.
• Strong proficiency in Python and/or C#/.NET, solid SQL skills, and experience building REST APIs and data exchanges.
• Experience building AI data pipelines including document parsing, embeddings, vector databases and retrieval quality measurement.

Responsibilities

• Deliver enterprise integrations connecting AI with Thomson Reuters tax and audit products, ERPs, document management platforms and data warehouses.
• Build data pipelines that parse documents, preserve tables and support chunking, embeddings and vector search.
• Enable AI agents to interact with enterprise systems via APIs, MCP servers and connectors.

Skills

APIs

Data integration

Middleware

Enterprise connectivity

Python

C#/.NET

SQL

REST APIs

Event-driven

File or batch data exchanges

Education

Bachelor's degree in CS or related field

Tools

SAP

Oracle

Workday

AWS

Azure

Kubernetes

Containers

Job description

Thomson Reuters is seeking a Senior Integration Engineer to connect AI solutions with tax and audit products, client enterprises, and ERP systems. You will own integration delivery from scoping to handoff, building reliable data pipelines and reusable assets across engagements.

You will work with APIs, MCP servers, and connectors, ensuring data quality, security, and scalable integration patterns while collaborating with engineering and advisory teams globally.