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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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