Enterprise Agentic AI Architect

About the role

The next phase requires something different: a shared technical foundation that lets many teams build safely and cost-effectively at scale, instead of each team solving governance, security, and cost from scratch. This role owns that foundation.

What you'll do

• Establish reusable patterns for RAG, semantic search, structured data access, and enterprise context, partnering with the Data team on existing data models and pipelines
• Agentic Architecture & Harness Engineering - Design reusable patterns for agent orchestration, tool use, multi-step workflows, state management
• Build the engineering harness around agents, including testing, evaluation, guardrails, retries, observability, and failure recovery
• Governance Architecture - Build technical guardrails that enforce—not just document—who can build what, what data and systems an agent can access
• Establish standards for agent ownership, lifecycle management, and production readiness

What you need

• 12–22 yrs of experience
• LLMs
• CI/CD
• Test automation
• Incident response
• Performance management
• Any graduate