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Lead AI Solutions Engineer
- Location: Fort Mill, South Carolina 29715
- Work model: On-site
- Posted 3 days ago
- Job ID: JPC - 211401
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Job Description
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.
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Job details
Job ID JPC - 211401
Location Fort Mill, South Carolina, United States
Work Model On-site
Job Type C2C
Posted October 16, 2026
Skills Recent experience on Healthcare and EHR specifically Epic Epic certifiedActively leverage GenAI tools to accelerate coding testing documentation troubleshooting and solution development Experience building or integrating GenAI-powered applications is strongly preferred AI should be used as a productivity multiplier-not a substitute for engineering judgment architectural thinking or technical ownershipDeep experience designing and implementing cloud solutions preferably Microsoft Azure Experience with AWS or GCP is also valuableStrong experience with Infrastructure as Code and cloud provisioning using technologies such as Bicep Terraform ARM or equivalent toolsStrong software engineering fundamentals and a deep understanding of Git branching strategies pull requests Code reviews versioning and collaborative development practicesDesign and implement automated CI/CD pipelines using Azure DevOps GitHub Actions GitLab Jenkins or similar platforms with an emphasis on automated repeatable and reliable software deliveryHands-on experience with Docker and Kubernetes including containerized application architecture Deployment Scaling Networking and operational considerations
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