Agentic AI Architect
REMOTE
Gemini Enterprise, Vertex AI, ADK, Agent Engine, A2A, MCP, Model Garden
Role Summary
Owns the end-to-end AI agent architecture for Intel's Agent Factory. Defines reusable patterns, orchestration standards, model selection, tool integration, security, and technical governance, ensuring modularity, scalability, and reuse across enterprise functions.
Key Responsibilities
Design multi-agent reference architectures using Gemini Enterprise, ADK, Agent Engine, A2A, and MCP.
Define agent blueprints, composable design standards, and the Intel Agent Library structure.
Establish orchestration, memory, RAG, and tool-invocation strategy.
Guide model selection (Gemini Pro / Flash / Flash-Lite) balancing cost, latency, and quality.
Own security architecture (IAM, VPC-SC, Model Armor) and observability standards.
Review and approve all agent-level technical designs and integration approaches.
Mandatory (Must-Have) Skills
Deep expertise in Gemini Enterprise, Vertex AI, ADK, Agent Engine, A2A, MCP, Model Garden.
Strong RAG, vector DB, embeddings, and knowledge-graph design.
Secure enterprise-scale AI platform architecture (IAM, VPC-SC, DLP, guardrails).
Microservices, containers (GKE/Cloud Run), API design.
Preferred (Good-to-Have) Skills
Multi-agent systems and agentic orchestration patterns.
Cost/latency optimization and model tiering.
Prior GSI / large enterprise AI transformation experience.
Experience & Certifications
12+ years IT with 3+ years in AI/GenAI/agentic architecture.
Google Cloud Professional Architect certification strongly preferred.
Must be able to work onsite in the USA.
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