AI Principal Architect

Cynet Systems • Jersey City, NJ

1d

About The Position

The AI Principal Architect will be responsible for defining and governing reference architecture for multi-agent systems, guiding teams on pattern selection, creating decision frameworks for platform selection, advising clients on vendor lock-in risks, and defining architectural standards for GenAIOps. This role requires a strong background in software engineering and enterprise-scale cloud architecture, with expertise in GenAI platforms.

Requirements

• 7+ years of experience in technical leadership.
• Strong background in software engineering.
• Strong background in enterprise-scale cloud architecture.
• Architectural expertise with one primary cloud platform (Azure, GCP, or AWS).
• Hands-on familiarity with at least one other cloud platform (Azure, GCP, or AWS).
• Demonstrated experience architecting and guiding solutions using GenAI platforms (e.g., Azure OpenAI, Vertex AI, or AWS Bedrock).
• AI Architect.
• RAG.
• LLM.
• OpenAI.

Responsibilities

• Define and govern reference architecture for multi-agent systems, covering hierarchical, peer-to-peer, and sequential (ReAct) orchestration models.
• Guide teams on pattern selection based on client use cases.
• Create and maintain decision frameworks for platform selection (e.g., Copilot Studio for Teams integration, Vertex AI for GCP workloads).
• Advise clients on balancing vendor lock-in risks with integration benefits.
• Define the architectural standards for GenAIOps, including CI/CD, IaC, and observability.
• Establish standard metrics to track agent decision traces, latency, token consumption, hallucination, and cost.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Education Level: No Education Listed