AI Cloud Engineer

Design, develop, and deploy secure, scalable cloud-native AI and Generative AI solutions using Azure cloud services and containerized architectures.

Build and manage AI application infrastructure integrating with enterprise platforms (Microsoft Graph, SharePoint, Microsoft Fabric, Snowflake, Power BI) and implement CI/CD pipelines and automated deployment for AI workloads.

Ensure compliance with healthcare and regulated industry standards including security, governance, and responsible AI; collaborate cross-functionally to deliver production-ready AI systems.

Bachelor's degree or higher in Computer Science, Engineering, Data Science, Mathematics, Information Technology, or related field with 5-7 years experience OR High School Diploma/GED with 10 years AI cloud engineering experience.

Proficiency in Python and modern API frameworks like FastAPI; hands-on experience with Microsoft Azure platform services including Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure Container Apps, Azure Functions.

Experience with enterprise-scale AI/ML and Generative AI cloud deployments, including Docker containerization, CI/CD using GitHub Actions or Azure DevOps, and secure application architecture.

Professional English proficiency; willingness to comply with healthcare facility entry prerequisites; hybrid work location with up to 20% domestic travel.

Experienced in designing and operationalizing advanced AI platforms with Azure cloud and container technologies in regulated environments like healthcare.

Skilled in integrating AI workloads with multiple enterprise data and application ecosystems, ensuring security and compliance.

Comfortable working across AI engineering, data engineering, cybersecurity, and business stakeholder teams to deliver end-to-end AI solutions with governance and best practices.