Director, Enterprise AI Architect

Role: Enterprise AI Architect responsible for defining and governing the organization’s AI platform architecture, ensuring secure, scalable, compliant, and cost-effective AI solutions across multiple departments. Responsibilities: oversee end-to-end AI architecture, including data integration, RAG pipelines, model orchestration, agentic AI, security, observability, and FinOps; review vendor solutions; establish standards for metadata, AI design patterns, and governance; partner with business and security teams to ensure responsible AI adoption; guide third-party vendors and develop citizen development standards. Requirements: bachelor’s in Computer Science, Data Engineering, or related field; 12+ years in enterprise IT/AI architecture; expertise in four-layer AI architecture, model routing, RAG pipelines, multi-LLM platforms (OpenAI, AWS Bedrock, Anthropic), cloud ecosystems (AWS, Databricks), and AI security including GxP and 21 CFR Part 11 compliance. Preferred: master’s degree, experience in regulated industries like pharma or healthcare, agentic AI design, and AI FinOps tools. HighValue: enterprise-level AI platform, multi-cloud vendor architecture, regulated industry deployment, AI security and governance, model cost tracking, and responsible AI practices. WorkSetup: not specified.