Sr. AI Integration Analyst
$78,000–$156,000 year
On-siteMadison, Wisconsin, United States
Job Summary
Design and maintain integrations between enterprise platforms and AI solutions, building data pipelines that expose structured data for model development. Manage the full integration lifecycle from design to support, authoring technical specifications and executing test plans to validate functional and security requirements. Partner with GenAI and MLOps teams to deliver on active use cases while collaborating with IT Integrations to align work with enterprise standards. Monitor live integrations, resolve issues through durable solutions, and promote best practices within the AI Strategy organization. This role requires on-call responsibilities as part of a production support rotation.
Required 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
- Ability to act with an inclusion mindset and model these behaviors for the organization
- Maintains regular and reliable attendance
Desired 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
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