Senior AI Integration Engineer for GenAI & Data Pipelines

RXinsider LTD.; Madison, Northern (WI, KY); Hybrid; USD 78,000 - 156,000; Full time

Job summary

Abbott, a global healthcare leader, is hiring a Sr. AI Integration Analyst to design and build the AI integration layer linking enterprise systems to AI solutions.

You will deliver data pipelines and work with GenAI/MLOps teams, ensuring alignment with enterprise standards and infrastructure across a fast-paced environment. You will lead integration lifecycle activities, write specifications, and promote best practices while communicating with diverse stakeholders across the organization.

Qualifications

• Bachelor’s degree in engineering, physics, computer science, math, information systems, statistics, or related field or Associates degree and 2+ years of related experience or High School/GED and 4+ years of experience.
• 5+ years of IT experience supporting system integrations.
• 3+ years of Interface Engine Development.
• Ability to develop in Corepoint or another interface engine.
• Strong analytical, technical, and troubleshooting skills.
• Ability to analyze data, solve problems, and clearly communicate solutions.
• Ability to understand organizational requirements and their impact on the technical aspects of a solution.
• Ability to work in a complex multi‑communication‑channel environment.
• Skill at tracking tasks, defining next steps, identifying owners, and holding people accountable.
• Ability to coordinate activities involving multiple players, including vendors, subject matter experts, interface engine developers, and end users, to design, configure, and test interfaces.
• Ability to parse HL7 v2, XML, CSV, and HTML.
• Demonstrated ability to perform the essential duties of the position with or without accommodation.
• Authorization to work in the United States without sponsorship.

Responsibilities

• Designs, develops, and maintains integrations between enterprise platforms and AI solutions in support of the AI Strategy organization.
• Builds and maintains data pipelines that expose structured enterprise data for AI model development, training, and deployment.
• Partners with GenAI and MLOps teams to understand and deliver on integration requirements for active AI use cases.
• Collaborates with the IT Integrations team to ensure AI integration work aligns with enterprise standards and infrastructure.
• Manages the full integration development lifecycle including design, development, testing, change control, go‑live, and support.
• Authors technical specifications and integration documentation for current and future AI use cases.
• Develops and promotes integration best practices within the AI Strategy organization.
• Writes and executes test plans to validate functional, quality, and security requirements.
• Monitors live integrations and drives resolution of issues through durable, well‑documented solutions.
• Communicates effectively with technical and non‑technical stakeholders across the organization.
• Upholds the company mission and values through accountability, innovation, integrity, quality, and teamwork.
• Supports and complies with the company’s Quality Management System policies and procedures.
• Maintains regular and reliable attendance.
• Ability to act with an inclusion mindset and model these behaviours for the organization.

Skills

Analytical skills

Troubleshooting

Communication

Problem solving

Multi-channel collaboration

Education

Bachelor's degree in engineering, physics, computer science, math, information systems, statistics, or related field

Associate degree + 2+ years of related experience

High School/GED + 4+ years of experience

Tools

Corepoint

Epic integration (FHIR R4)

Python

Java

C#

Job description

Abbott, a global healthcare leader, is hiring a Sr. AI Integration Analyst to design and build the AI integration layer linking enterprise systems to AI solutions.

You will deliver data pipelines and work with GenAI/MLOps teams, ensuring alignment with enterprise standards and infrastructure across a fast-paced environment. You will lead integration lifecycle activities, write specifications, and promote best practices while communicating with diverse stakeholders across the organization.