Lead AI Solutions Engineer (Remote) About the Role Join a high-impact, fully remote team as a Lead AI Solutions Engineer. Drive the architecture and delivery of cutting-edge, cloud-based AI applications in the healthcare sector, with a focus on seamless Epic EHR integration. Take ownership of end-to-end solutions, leveraging generative AI and modern DevOps practices to accelerate productivity and deliver secure, scalable products. This is a pivotal role for a senior technologist ready to shape next-generation healthcare solutions while mentoring technical teams. Responsibilities

• Architect, design, and implement secure, scalable, resilient cloud applications using Microsoft Azure and related cloud technologies
• Lead the integration of AI solutions within Epic EHR, ensuring robust and seamless user experiences
• Design, automate, and optimize CI/CD pipelines using Azure DevOps, GitHub Actions, GitLab, or Jenkins for reliable, repeatable software delivery
• Engineer Infrastructure as Code (IaC) solutions with Bicep, Terraform, or ARM templates for consistent cloud provisioning
• Actively leverage Generative AI tools to enhance coding, testing, documentation, troubleshooting, and solution development
• Oversee the full software development lifecycle, from technical design to deployment and operational support
• Collaborate across teams, participate in architecture/code reviews, and drive best practices in cloud engineering and DevOps
• Champion observability, performance, and security leveraging tools like Grafana, Azure Application Insights, and OpenTelemetry Required Skills and Experience
• 10+ years' experience in software engineering or cloud solutions, with proven leadership of technical teams
• Deep expertise in architecting and deploying cloud-native solutions, especially on Microsoft Azure; AWS/GCP experience valued
• Proficiency with Infrastructure as Code (Bicep, Terraform, ARM)
• Strong command of Git, branching strategies, version control, code reviews, and collaborative development
• Advanced skills in Docker, Kubernetes, and containerized application deployment
• Hands-on experience with CI/CD automation and DevOps toolchains
• Significant recent experience in healthcare IT with deep Epic EHR knowledge
• Epic certification (Clarity Data Model, Clinical Data Model, Cogito, Caboodle Data Model, etc.)
• Comprehensive experience with relational and distributed data technologies (PostgreSQL, MySQL, Redis, Databricks)
• Experience implementing observability, logging, metrics, and security practices for enterprise applications Preferred Skills
• Experience building or integrating Generative AI-powered applications
• Advanced degree or additional technical certifications
• Familiarity with healthcare data privacy and regulatory compliance Benefits
• 100% remote work environment with flexible hours
• Career growth in an innovative, AI-driven healthcare engineering team
• Opportunities to lead technically and mentor peers
• Exposure to the latest in cloud and AI technology stacks
• Collaborative, supportive, and high-performance culture How to Apply Ready to drive digital transformation in healthcare?

Submit your resume and a brief cover letter highlighting your Epic EHR experience and how you have used AI to accelerate solution delivery. Qualified candidates will be contacted for a streamlined virtual interview process.