Overview
The Lead AI Agentic Architect will play a critical role in shaping and delivering the enterprise AI strategy for a large-scale digital transformation initiative. This highly remote position involves strategic leadership in defining AI architecture, governance frameworks, and adoption roadmaps, while collaborating with various stakeholders across technology, data, and business teams to drive enterprise-wide AI capabilities.
Responsibilities
- Define enterprise AI target architectures and transition roadmaps.
- Develop scalable AI and agentic architecture patterns considering orchestration, integration, security, observability, and lifecycle management.
- Evolve the Agent taxonomy and tiering by collaborating with AI Governance based on various criteria including purpose and criticality.
- Establish AI platform strategies, standards, guardrails, and reusable design frameworks.
- Assess and prioritize AI opportunities across multiple business functions to create a long-term AI roadmap.
- Create design principles, reference architectures, and governance frameworks for secure and responsible AI adoption.
- Engage stakeholders across architecture, technology, data, security, risk, and business units.
- Enable teams through workshops, design reviews, and best practice resources.
Requirements
- Proven experience in defining and implementing enterprise AI strategies and architecture roadmaps.
- Strong knowledge of Agentic AI, AI platforms, orchestration frameworks, and AI governance.
- Experience in designing scalable AI solutions that involve data integration, security, and cloud platforms.
- Deep understanding of enterprise architecture principles and digital transformation programs.
- Experience in establishing AI standards, operating models, and governance frameworks.
- Strong stakeholder management skills with the ability to influence senior leadership.
- Experience in complex enterprise environments with multiple priorities.
- Familiarity with Microsoft Copilot, Azure AI, and modern enterprise AI platforms.