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).