Lead AI Solutions Engineer
Location: Remote
Compensation: To Be Discussed
Reviewed: Sun, Oct 18, 2026
This job expires in: 30 days
Job Summary
To support innovative healthcare solutions, the full-time Lead AI Solutions Engineer will design scalable cloud applications, implement CI/CD pipelines, and leverage Generative AI tools while working remotely.
Key responsibilities
- Design scalable, secure, and resilient cloud applications with a focus on distributed systems and microservices
- Implement automated CI/CD pipelines using platforms such as Azure DevOps and GitHub Actions
- Ensure seamless integration of AI solutions within Epic for enhanced user experience
Required qualifications
- 10+ years of experience in a relevant field, particularly in healthcare with EHR and Epic technologies
- Deep experience designing and implementing cloud solutions, preferably with Microsoft Azure
- Strong experience with Infrastructure as Code (IaC) using technologies such as Terraform or Bicep
- Hands-on experience with Docker and Kubernetes for containerized application architecture
- Bachelor's degree in Computer Science or a related field
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