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.

• Epic Bridges Certification.

• 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.