JOB SUMMARY
The Digital Solutions Engineer (DSE) serves as the technical delivery lead for AI-enabled products, partnering closely with clinical and operational teams to design, build, integrate, deploy AI solutions and automation. The role acts as the bridge between business requirements and technical execution, translating prioritized use cases into secure, scalable, and production-ready solutions that deliver measurable value.
The DSE is responsible for assessing technical feasibility, developing and integrating solutions across enterprise platforms, leading technical testing and deployment activities, and ensuring operational readiness prior to go-live. The role maintains ownership of the technical lifecycle through stabilization and supports the transition to ongoing engineering support.
The DSE works closely with Digital Transformation Specialists (DTSs), clinicians, operational leaders, IT teams, data scientists, governance committees, vendors, and enterprise platform teams to ensure solutions meet organizational standards for security, reliability, performance, compliance, and scalability.
The role may support both clinical and operational AI and automation products, best practices that accelerate future AI and automation deployments across the organization.
ROLE INTERACTS DIRECTLY WITH
- Digital Transformation Specialists - Daily - Requirements review, solution design, prioritization
- Physicians, Nurses and Allied Health - Daily - Workflow assessment, testing, validation
- Department Managers - Weekly - Trade-offs, deployment planning, technical updates
- IT Infrastructure & Security - Weekly - Hosting, integration, compliance and security reviews
- Enterprise Application Teams (Epic, Oracle, Revenue Cycle, Scheduling Systems) - Weekly -Solution integration and deployment
- Data Scientists & Analytics Teams - Daily - Models, data pipelines, evaluations
- Vendors & Technology Partners - As Required - Technical implementation and troubleshooting
- AI Governance Committees - Monthly - Technical readiness and deployment updates
PRIMARY JOB DUTIES AND RESPONSIBILITIES
AI Solution Engineering and Automation
- Assess technical feasibility, data availability, solution complexity, and implementation effort for proposed solution use cases.
- Develop technical implementation plans and architecture recommendations.
- Build, configure, deploy, and support AI-enabled applications and workflows.
Integration and Platform Development
- Design and implement integrations across enterprise systems including EHR, ERP, revenue cycle, scheduling, operational, and other clinical platforms.
- Develop APIs, data pipelines, middleware solutions, and workflow automations.
- Ensure solutions comply with enterprise architecture, cybersecurity, privacy, and infrastructure standards.
Testing, Validation and Deployment
- Lead technical testing, system validation, performance evaluation, and deployment readiness activities.
- Implement observability, logging, monitoring, and alerting mechanisms prior to production release.
- Support user acceptance testing and technical issue resolution.
- Monitor user feedback and production performance following deployment, identifying root causes of issues and implementing corrective actions, optimizations, and feature enhancements.
Vendor and Technology Management
- Serve as primary technical liaison for AI vendors and technology partners during implementation.
- Coordinate deployment activities, troubleshooting, upgrades, and technical escalations.
Stabilization and Support Transition
- Provide technical support during stabilization following deployment.
- Develop technical documentation, runbooks, operational procedures, and support materials.
- Transition mature products to shared engineering support teams.
Platform and Capability Development
- Develop reusable components, frameworks, integration patterns, and deployment accelerators.
- Contribute to enterprise AI standards, technical governance, and engineering best practices.
- Promote secure, scalable, and maintainable AI solution development.
Cross-Functional Collaboration
- Partner closely with DTS throughout the product lifecycle.
- Collaborate with IT, cybersecurity, analytics, vendors, and business stakeholders.
- Support solutions spanning both clinical and operational domains.
QUALIFICATION & EXPERIENCE REQUIREMENTS
Education
Bachelor's Degree in Computer Science, Engineering, Information Systems, Software Engineering, Data Science, Health Informatics, or related discipline.
Experience
2+ years of software engineering, platform engineering, data engineering, integration engineering, or enterprise application development experience.
