Jobs › Abbott

Sr. AI Integration Analyst

Abbott · Madison, WI · $78,000–$156,000 a year · Full time

Posted Jul 30, 2026 · We last checked this listing on Oct 6, 2026

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Likely interview questions for this role

Written from this job description, not a generic list. Each one notes what the interviewer is really checking.

About your past

Tell me about an integration you built that failed in production. How did you find the problem and what did you change?

What they are checking: Whether they learn from incidents and design for observability and retries afterward.

Describe how you have worked with an architect on a design you disagreed with.

What they are checking: Whether they can raise technical concerns clearly and then commit to a decision.

What would you do

This role partners with the IT Integrations team on enterprise standards but owns the AI-specific work. How do you handle a case where their standard does not fit your use case?

What they are checking: Whether they can negotiate exceptions respectfully instead of going around the team that owns standards.

An AI use case team wants data from five systems in two weeks. How do you scope what is realistic?

What they are checking: Whether they can set honest expectations and deliver a useful first version on time.

About the work

Walk me through how you would design an integration that pulls data from an enterprise system into a GenAI use case, using MuleSoft, Boomi or Azure Integration Services.

What they are checking: Whether they can design the full path, including auth, transformation, error handling and monitoring, not just the happy path.

What do you know about FHIR APIs, and where have you used them or something similar?

What they are checking: Whether they understand healthcare data standards, which matter when AI touches clinical or patient data.

How would you handle patient or protected health information flowing into an AI solution?

What they are checking: Whether they think about privacy, minimization and access controls before building, given healthcare regulations.

The role may include on-call for production support. How do you design integrations so the person on call at 2 a.m. can figure out what broke?

What they are checking: Whether they build logging, alerts and runbooks with operations in mind.

How would you use Python alongside a middleware platform, and when would you choose one over the other?

What they are checking: Whether they can make sensible tool choices instead of forcing everything into one approach.

How do you handle schema changes in a source system that would break your downstream AI pipeline?

What they are checking: Whether they plan for versioning and contract changes rather than reacting after things break.

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The full job description

As published by Abbott.

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: 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

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