Job description

Job Title: Azure AI Solution Architect Work Location: Atlanta, GA/San Francisco, CA Duration: Long Term Job Description We are urgently looking for a Senior Solutions Architect with strong expertise in Azure AI and Generative AI to lead the design and delivery of enterprise-grade AI solutions within a healthcare environment. The ideal candidate will have hands-on experience with LLMs, prompt engineering, agentic AI frameworks, and Azure AI services, while also providing strategic architectural guidance and driving end-to-end AI solutioning across the organization. Key Responsibilities Lead the design and implementation of AI/GenAI solutions using Azure AI services, LLMs, and modern MLOps practices Translate healthcare business needs into scalable AI architectures Build AI pipelines: data ingestion, model orchestration, prompt engineering, and deployment Collaborate with data scientists, ML engineers, and business stakeholders to drive outcomes Ensure solutions comply with HIPAA, GDPR, and internal governance standards Guide the evaluation of emerging AI tools and frameworks for enterprise use Provide leadership and hands-on support across solutioning, prototyping, and deployment Must-Have Skills 7+ years in solution architecture, with 2+ years in AI/ML and GenAI Strong experience with Azure AI stack (OpenAI, Azure ML, Cognitive Services) Hands-on with LLMs, LangChain, AutoGen, or similar frameworks Advanced Python skills and experience with vector databases (Pinecone, Weaviate, etc.) Proven background in building MLOps/LLMOps pipelines Familiarity with healthcare data compliance (HIPAA, GDPR) Preferred Azure Solutions Architect Certification AI/ML Certifications Prior experience in healthcare/health-tech environments

Requirements