Jobs → Engineering → AI Solutions Engineer

About the Role We are seeking an AI Solutions Engineer to join our team. This role involves designing and implementing scalable cloud applications with a focus on AI integration within healthcare systems. Key Responsibilities • Design scalable, secure, and resilient cloud applications with a strong understanding of distributed systems, APIs, and microservices • Design and implement automated CI/CD pipelines using platforms such as Azure DevOps, GitHub Actions, GitLab, or Jenkins • Leverage Generative AI tools to accelerate coding, testing, documentation, and solution development • Maintain end-to-end ownership of architected products and systems • Move between high-level architecture and hands-on implementation as needed • Ensure AI solutions are integrated within Epic for a seamless user experience Requirements • 10+ years of experience in a relevant field • Recent working experience in the healthcare domain, specifically with EHR and Epic technologies • Deep experience designing and implementing cloud solutions, preferably with Microsoft Azure • Experience with AWS or GCP is also valuable • Strong experience with Infrastructure as Code (IaC) using technologies such as Bicep, Terraform, or ARM • Deep understanding of Git, branching strategies, pull requests, and collaborative development practices • Hands-on experience with Docker and Kubernetes, including containerized application architecture and deployment • Experience with relational and distributed data technologies such as PostgreSQL, MySQL, Redis, and Databricks • Understanding of observability, application performance, logging, metrics, tracing, and security