AI/ML Architect

Required Qualifications

• 12+ years of experience in solution architecture, enterprise architecture, or software engineering roles
• 3+ years of experience designing and delivering AI, machine learning, advanced analytics, or intelligent automation solutions
• 1+ year of experience architecting solutions using Large Language Models (LLMs), Generative AI, Deep expertise on one of the Agentic Platform or framework such as LangGrph, Agno, Autogen, Retrieval Augmented Generation (RAG), AI agents, or conversational AI platforms, Guardrails
• 1+ year of experience with vector databases, knowledge graphs, semantic search, and enterprise knowledge management platforms
• 1+ year of experience with cloud platforms such as Azure, AWS, or Google Cloud Platform, including AI and data services
• 1+ year of experience designing distributed, scalable, and resilient enterprise architectures
• 1+ year of experience defining architecture standards, reference architectures, and technology governance processes
• Proven experience leading cross-functional teams across product, engineering, architecture, and business organizations
• Demonstrated ability to influence senior leaders and drive enterprise technology decisions

Preferred Qualifications

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science or a related discipline
• Healthcare industry experience across Health, provider organizations, population health, value-based care, or payer platforms
• Experience integrating healthcare systems utilizing HL7, FHIR, EHR platforms, claims systems, provider systems, or clinical applications
• Experience deploying production-scale AI platforms and MLOps capabilities
• Experience with Azure OpenAI, Microsoft Copilot technologies, and enterprise AI platforms