Forward Deployed Engineer – AI & Healthcare Technology-27108

Rush University Medical Center is seeking a Forward Deployed Engineer to support its AI transformation across healthcare operations. The role designs, builds, integrates, and deploys AI and machine learning solutions; develops APIs, data pipelines, and system integrations; and partners with clinicians, executives, data scientists, and IT teams to improve patient care and operational efficiency.

Responsibilities:

• Solution Deployment & Integration
• Partner with operational and administrative stakeholders
• Help deploy AI solutions in real-world healthcare environments
• Connect AI models to existing healthcare systems like Epic, Salesforce, Workday and Service now, PACS, and data platforms
• Build reliable APIs, data pipelines, and system integrations
• AI / Machine Learning Support
• Turn business and clinical problems into AI-based solutions
• Customize and improve machine learning models for healthcare use cases
• Partner with data scientists to move models from testing into production
• Working with Stakeholders
• Serve as a technical partner to executives, clinicians, and IT leaders
• Gather requirements and turn them into clear technical designs
• Lead working sessions, demos, and design discussions with different teams
• Innovation & Prototyping
• Quickly build and test new AI ideas, such as clinical decision tools or workflow automation
• Try new technologies like generative AI, natural language processing, and computer vision
• Review and test new tools to see if they can be used across the organization
• System Design & Performance
• Design solutions that are secure, scalable, and compliant with healthcare regulations
• Improve performance and reliability of AI systems once they are live
• Set up monitoring and support continuous improvement
• Change Management & Adoption
• Help teams adopt new AI tools and workflows
• Train users and technical teams on new solutions
• Create clear documentation, guides, and best practices

Requirements:

• • Bachelor's degree in Computer Science, Engineering, or a related field OR 2 or more years of experience in software development, system integration, or AI solutions
• • Experience working with healthcare IT systems (such as Epic, Salesforce, Workday, Service Now, HL7, FHIR, PACS, VNA)
• • Strong coding skills, Natural Language Processing, Gen AI and large language models and understanding of APIs
• • Experience using cloud platforms like AWS, Azure, or GCP
• • Experience deploying AI or machine learning solutions