Enterprise Architect - Enterprise AI Platform & Governance

Lead enterprise-wide AI architecture strategy, governance, and adoption roadmap including standards for generative AI, agentic AI, RAG, MCP, and A2A communication.

Own AI platform evaluation, selection scoring, and integration architecture to ensure scalable, secure, compliant, and reusable AI deployments across business systems like ERP, CRM, and Data Lakes.

Govern AI technology decisions via Architecture Review Board including defining governance guardrails, publishing standards, and mentoring delivery teams for consistent enterprise AI adoption.

Bachelor’s degree in Computer Science, Engineering, Information Systems or equivalent experience.

12+ years in Enterprise Architecture, Solution Architecture, Technology Strategy or related leadership roles; 5+ years leading large-scale Enterprise AI or Generative AI initiatives.

Hands-on experience with cloud AI platforms such as Azure AI, OpenAI, AWS AI, Google AI or equivalents.

Experience with AI architecture governance, enterprise integration, ERP/CRM systems, and regulated manufacturing or MedTech environments.

Experienced in defining AI standards, architecture governance, and technology roadmaps for global enterprises with regulated product environments (manufacturing, MedTech).

Operates effectively at the intersection of enterprise architecture and AI platforms, engaging executive stakeholders and Architecture Review Boards for governance and strategic decisions.

Strong familiarity with integration architectures including API-led, event-driven, microservices, and cloud-native patterns linked to enterprise AI deployments.