Description

You define and govern the target state for AI across business, data, applications, and technology.

Responsibilities

• Define AI target state architecture and reference patterns (e.g., RAG, agent frameworks, LLMOps) ensuring fitness for business outcomes.
• Lead architecture governance, principles, and standards; guide solution teams through the delivery lifecycle while meeting non-functional requirements.
• Evaluate platform options—cloud services, model providers, data platforms—aligning them with enterprise security, privacy, and compliance controls.
• Support deal and initiative solutioning, providing executive guidance on trade-offs, value, and risks.

Required Skills

• 10+ years in enterprise or solution architecture.
• 3+ years in AI/ML or data platform architecture.
• Mastery of architecture methods and capability mapping.
• Evidence of pragmatic governance and value-managed decisioning.
• Practical understanding of operating AI in production (observability, safety/guardrails, cost/performance).
• Familiarity with Rag and Llmops.

Key Skills

Education

Any Graduate