





Metro location and mid-level signals, but niche Azure Generative AI skills reduce candidate pool.
Strong Azure OpenAI, cloud infrastructure, and regulated healthcare requirements limit cross-industry transferability.
Explicit years, required Azure/Azure OpenAI, Python, CI/CD, and healthcare compliance make shortlisting highly strict.
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Design, develop, and deploy secure, scalable AI cloud-native solutions from proof of concept through production across Solventum organization.
Build and manage AI application infrastructure using Azure cloud services including Azure OpenAI, Azure Container Apps, and integrate enterprise platforms like Microsoft Graph, SharePoint, Snowflake, and Power BI.
Implement CI/CD pipelines, infrastructure automation, and ensure compliance with security, governance, and healthcare regulatory requirements for AI workloads.
Bachelor's Degree in Computer Science, Engineering, Data Science, Mathematics, IT or related field with 5-7 years of relevant experience OR High School Diploma/GED with 10 years relevant experience.
Proficiency in Python and modern API development frameworks such as FastAPI.
Strong hands-on experience with Microsoft Azure cloud services including Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure Container Apps, Azure Functions.
Work Experience Required: 5-7 years with degree or 10 years without degree.
Professional proficiency in English.
Experience with cloud security principles, containerization (Docker), CI/CD pipelines (GitHub Actions, Azure DevOps), and API integrations.
Experienced in architecting and deploying enterprise-scale AI/ML and Generative AI cloud solutions, especially leveraging Microsoft Azure platform.
Comfortable working in regulated environments like healthcare, navigating compliance, governance, and responsible AI practices.
Hands-on with containerized architectures, multi-agent AI orchestration, and advanced LLM application patterns, supporting AI Centers of Excellence or AI transformation initiatives.