Enterprise AI Architect

Required Skills & Experience • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.\n• 10+ years of experience in software engineering, cloud architecture, or enterprise technology, including architect or technical leadership roles.\n• 4+ years of experience designing and delivering AI-powered solutions, including LLM, RAG, and agentic AI architectures.\n• Deep expertise in cloud architecture and modern AI platforms, with a strong emphasis on Microsoft Azure.\n• Strong background in .NET/C# and Python, with the ability to guide architecture across complex distributed systems.\n• Strong understanding of AI architecture patterns, including vector databases, embeddings, orchestration frameworks, model integration, and enterprise AI solution design.\n• Experience establishing AI governance frameworks covering responsible AI, model risk management, security, privacy, and regulatory compliance.\n• Experience defining DevOps, MLOps/LLMOps, observability, and AI lifecycle management practices at enterprise scale.\n• Experience working within regulated industries such as healthcare, insurance, or financial services Nice to Have Skills & Experience • Experience with Azure OpenAI Service, Azure AI Search, GitHub Copilot, and enterprise AI adoption initiatives.\n• Working knowledge of AWS and/or Google Cloud Platform (GCP).\n• Experience developing solutions involving HIPAA, PHI, or other sensitive data environments.\n• Master's degree in Computer Science, Engineering, Information Technology, or a related field. Job Description A leading healthcare client is making significant investments in enterprise AI and is seeking an experienced AI Architect to lead the strategy, design, and governance of AI-enabled solutions across the organization. The AI Architect will establish enterprise AI standards, evaluate emerging technologies, guide platform and vendor decisions, and provide architectural leadership across a growing portfolio of AI initiatives. \nThis is a unique opportunity to shape the organization's AI roadmap and drive solutions that enhance business operations, customer experiences, and long-term innovation.\nKey Responsibilities Include: \n\t• Drive the enterprise AI architecture strategy and roadmap across platforms, applications, and engineering teams.\n\t• Architect scalable, secure, and cost-efficient AI solutions leveraging Azure and modern AI technologies.\n\t• Evaluate and govern AI platforms, models, and vendor solutions to maximize business value and reduce risk.\n\t• Establish enterprise standards for responsible AI, security, privacy, compliance, and model governance.\n\t• Define best practices for AI engineering, lifecycle management, observability, and AI-assisted development.\n\t• Serve as a trusted advisor to business and technology leaders, providing architectural guidance and technical leadership across AI initiatives. Insight Global