Senior AI Integration Engineer | GenAI & MLOps

Abbott Laboratories

Madison (WI)

On-site

USD 78,000 - 156,000

Full time

13 days ago

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Job summary

Abbott Laboratories in Madison, WI is seeking a Sr. AI Integration Analyst to design and build the integration layer connecting enterprise systems to AI solutions, enabling use cases across GenAI and MLOps.

You will work with IT Integrations and AI Strategy teams to deliver robust integrations and data pipelines. The role emphasizes hands-on development, collaboration across technical and non-technical stakeholders, and adherence to enterprise standards.

Qualifications

Bachelor’s degree in engineering, physics, computer science, math, information systems, statistics or related field or Associates degree with 2+ years experience or HS/GED with 4+ years 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 behaviors for the organization.