Senior AI Integration Engineer - GenAI & MLOps

Abbott (abbottcareers2 board)

United States

On-site

USD 78,000 - 156,000

Full time

5 days ago

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Job summary

Abbott is seeking a Sr. AI Integration Analyst who designs and builds the integration layer connecting enterprise systems to AI solutions.

You will work with the Automation Business Solutions pillar and closely collaborate with the IT Integrations team on enterprise standards. You will develop data pipelines for AI model development, support GenAI and MLOps use cases, and ensure secure, scalable integrations.

Qualifications

Bachelor's degree in engineering, physics, CS, math, information systems, statistics, or related field; or Associates + 2+ years.
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 and communicate solutions.
Ability to work in a complex multi-communication-channel environment.
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.