Forward Deployed Engineer – AI & Healthcare Technology-27108

Location: Chicago, Illinois / RemoteBusiness Unit: Rush Medical CenterHospital: Rush University Medical CenterDepartment: Enterprise IT Strategy & PlangWork Type: Full Time (Total FTE between 0.9 and 1.0)Shift: Shift 1Work Schedule: 8 Hr (8:00:00 AM - 5:00:00 PM)Rush offers exceptional rewards and benefits learn more at our Rush benefits page (https://www.rush.edu/rush-careers/employee-benefits).Pay Range: $41.88 - $62.40 per hourRush salaries are determined by many factors including, but not limited to, education, job-related experience and skills, as well as internal equity and industry specific market data. The pay range for each role reflects Rush’s anticipated wage or salary reasonably expected to be offered for the position. Offers may vary depending on the circumstances of each case. SummaryThe Forward Deployed Engineer – AI & Healthcare Technology is a high-impact engineering role at the forefront of Rush’s AI transformation. Embedded within a rapid-response, cross-functional “tiger team,” this position turns emerging AI capabilities into practical, production-ready solutions that improve patient care, enhance operational efficiency, and support better decision-making across the enterprise. Working at the intersection of software engineering, artificial intelligence, and healthcare, the Forward Deployed Engineer partners directly with clinicians, business leaders, executives, data scientists, and IT teams to understand complex challenges and rapidly design, build, integrate, and deploy solutions. This includes connecting AI models and applications with enterprise platforms such as Epic, Salesforce, Workday, ServiceNow, PACS, and data platforms, as well as developing APIs, data pipelines, and scalable system integrations. This role is ideal for a hands-on engineer who enjoys solving complex problems and moving quickly from concept to production. The successful candidate will bring strong coding and integration skills, experience with AI/ML and emerging technologies such as generative AI, NLP, and large language models, and the ability to translate technical concepts into solutions that work in real-world healthcare environments. Experience with cloud platforms such as AWS, Azure, or GCP is also important. Beyond building technology, the Forward Deployed Engineer will help ensure solutions are secure, scalable, reliable, and aligned with healthcare regulations and enterprise architecture. The role will also support user adoption through demonstrations, training, documentation, and collaboration with clinical and operational teams. If you are energized by emerging technology, enjoy working directly with customers and stakeholders, and want to see your engineering work make a tangible difference in healthcare, this is an opportunity to help shape how AI is developed and deployed across Rush. ResponsibilitiesSolution Deployment & IntegrationPartner with operational and administrative stakeholdersHelp deploy AI solutions in real-world healthcare environmentsConnect AI models to existing healthcare systems like Epic, Salesforce, Workday and Service now, PACS, and data platformsBuild reliable APIs, data pipelines, and system integrationsAI / Machine Learning SupportTurn business and clinical problems into AI-based solutionsCustomize and improve machine learning models for healthcare use casesPartner with data scientists to move models from testing into productionWorking with StakeholdersServe as a technical partner to executives, clinicians, and IT leadersGather requirements and turn them into clear technical designsLead working sessions, demos, and design discussions with different teamsInnovation & PrototypingQuickly build and test new AI ideas, such as clinical decision tools or workflow automationTry new technologies like generative AI, natural language processing, and computer visionReview and test new tools to see if they can be used across the organizationSystem Design & PerformanceDesign solutions that are secure, scalable, and compliant with healthcare regulationsImprove performance and reliability of AI systems once they are liveSet up monitoring and support continuous improvementChange Management & AdoptionHelp teams adopt new AI tools and workflowsTrain users and technical teams on new solutionsCreate clear documentation, guides, and best practices Required Job QualificationsBachelor’s degree in Computer Science, Engineering, or a related field OR 2 or more years of experience in software development, system integration, or AI solutionsExperience 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 APIsExperience using cloud platforms like AWS, Azure, or GCPExperience deploying AI or machine learning solutions CompetenciesStrong Technical Skills: Able to build real solutions, not just prototypesCustomer Focus: Understands the needs of clinicians and healthcare teamsAdaptability: Comfortable working in changing and unclear environmentsClear Communication: Can explain technical ideas to non-technical audiencesProblem Solving: Thinks logically and works through complex challenges Rush is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.