Location: Chicago, Illinois
Business Unit: Rush Medical Center
Hospital: Rush University Medical Center
Department: Enterprise IT Strategy & Plang
Work 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)
Pay Range: $41.88 - $62.40 per hour
Rush 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.
Summary:The 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.
Responsibilities:1. 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
2. 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
3. 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
4. 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
5. 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
6. 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
Required Job Qualifications- 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
Competencies:- Strong Technical Skills: Able to build real solutions, not just prototypes
- Customer Focus: Understands the needs of clinicians and healthcare teams
- Adaptability: Comfortable working in changing and unclear environments
- Clear Communication: Can explain technical ideas to non-technical audiences
- Problem Solving: Thinks logically and works through complex challenges
