Saransh Inc
Azure AI Solution Architect - Hybrid
Saransh Inc, San Francisco, California, United States, 94199
Job Details
Job Title: Azure AI Solution Architect Location: Atlanta, GA / San Francisco, CA Duration: Long Term Employment type: Full-time Job Overview
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. 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 Additional Information
Referrals and location preferences may be discussed during interview. This description reflects the current requirements and does not imply job availability beyond posting.
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Job Title: Azure AI Solution Architect Location: Atlanta, GA / San Francisco, CA Duration: Long Term Employment type: Full-time Job Overview
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. 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 Additional Information
Referrals and location preferences may be discussed during interview. This description reflects the current requirements and does not imply job availability beyond posting.
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