Sr. AI Integration Analyst

Thornton Tomasetti; Madison (WI); On-site; USD 78,000 - 156,000; Full time

Job summary

Abbott in Madison, WI seeks a Sr. AI Integration Analyst to design and build the integration layer connecting enterprise systems to AI solutions. You will own AI-specific integration work, partnering with IT and cross-functional AI Strategy teams on middleware, APIs, and data pipelines for GenAI use cases.

The role requires 5+ years in IT integrations, strong problem solving, and experience with HL7/FHIR. On-call rotations and US work authorization are included.

Qualifications

• Bachelor’s degree in engineering, physics, CS, math, information systems, statistics, or related field.
• 5+ years of IT experience supporting system integrations.
• 3+ years of Interface Engine Development and Corepoint experience.
• Ability to parse HL7 v2, XML, CSV, and HTML and troubleshoot integrations.

Responsibilities

• Designs, develops, and maintains integrations between enterprise platforms and AI solutions.
• Builds data pipelines for AI model development, training, and deployment.
• Collaborates with GenAI and MLOps teams to deliver integration requirements.
• Manages full integration lifecycle: design, development, testing, go-live, support.
• Writes technical specs and integration documentation; promotes best practices.

Skills

IT experience

Interface engine

Data pipelines

Python

REST API

HL7/FHIR

Education

Bachelor’s degree in engineering or CS

Associates + 2+ years exp

High School/GED + 4+ years exp

Tools

Corepoint

Epic integration

Azure/AWS

Job description

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries.

JOB DESCRIPTION:

Position Overview

The Sr. AI Integration Analyst sits within the Automation Business Solutions pillar of the AI Strategy organization. This role is focused on designing and building the integration layer that connects enterprise systems to AI solutions, directly enabling use case delivery across the GenAI and MLOps pillars. The Sr. Integration Engineer works closely with the Automation Solutions Architect and cross-functional AI Strategy teams, partnering with the IT Integrations team on enterprise standards while owning the AI‑specific integration work. Tools commonly used in this role include enterprise middleware platforms (MuleSoft, Dell Boomi, or Azure Integration Services), REST and FHIR APIs, and Python. This position may include on‑call responsibilities as part of a production support rotation.

Essential Duties Include, but are not limited to, the following:

• 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 behaviors for the organization.

Minimum 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.

Preferred Qualifications

• Proficiency with REST and/or SOAP APIs and enterprise integration patterns.
• Hands‑on experience with at least one integration middleware platform.
• Strong backend development skills in Python, Java, or C#.
• Experience designing and building ETL/ELT pipelines and working with structured data at scale.
• 2+ years of hands‑on Epic integration experience (FHIR R4, Interconnect, or App Orchard).
• Familiarity with Epic Cogito analytics environment or Epic Clarity/Caboodle data models.
• Experience with HL7/FHIR standards and healthcare data models.
• Prior experience working within or directly supporting a GenAI, MLOps, or AI product team.
• Exposure to LLM APIs, prompt engineering, or agentic workflow concepts.
• Familiarity with cloud data platforms including Azure, AWS, or Snowflake.
• Knowledge of additional ERP platforms such as SAP, Oracle, or Workday.

The base pay for this position is $78,000.00 – $156,000.00 In specific locations, the pay range may vary from the range posted.

Job Family & Additional Details

JOB FAMILY: Product Development DIVISION: ONCO Cancer Diagnostics LOCATION: United States > Madison : 1 Exact Lane ADDITIONAL LOCATIONS: WORK SHIFT: Standard TRAVEL: No MEDICAL SURVEILLANCE: Not Applicable SIGNIFICANT WORK ACTIVITIES: Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday)

Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans. EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdf EEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf

Abbott is about the power of health. For more than 135 years, Abbott has been helping people reach their potential — because better health allows people and communities to achieve more. With a diverse, global network serving customers in more than 160 countries, we create new solutions — across the spectrum of health, around the world, for all stages of life. Whether it’s next‑generation diagnostics, life‑changing devices, science‑based nutrition, or novel reformulations, we are advancing some of the most innovative and revolutionary technologies in healthcare, helping people live their best lives through better health. The people of Abbott come to work each day with relentless energy, enthusiasm and a promise to enhance the health and well‑being of millions of people. They push the boundaries to help manage and treat some of life’s greatest health challenges. We invite you to explore opportunities at Abbott, to see if your talents and career aspirations may fit with our openings. An equal opportunity employer, Abbott welcomes and encourages diversity in our workforce.

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