Architect

Principal AI Architect Owns the technical vision, architecture standards, and client advisory relationship for GenAI/agentic engagements. Sets direction and prototypes hands-on, but does not carry day-to-day embedded delivery.

Responsibilities - Client advisory to C-suite/VP stakeholders; shape AI strategy and architecture roadmaps.

• Own architecture standards and governance across engagements.
• Lead technical pre-sales, proposals, SOWs, and RFP responses.
• Maintain consistency of patterns across accounts; mentor architects and engineering managers.
• Evaluate and select emerging frontier tooling for the practice.

Required qualifications

• 5-8 years, including architecture/technical leadership tenure.
  -Hands-on production experience with the GenAI/agentic stack (LangGraph, Temporal, RAG, vector DBs, Graph DBs, LLM fine-tuning (LoRA/Hypernetworks), eval frameworks/approaches, Agent Evolution Approaches, MCP).
• Multi-cloud AI platform depth (Bedrock, Azure OpenAI, Vertex AI).
• Research credentials: advanced degree or equivalent publications/patents/OSS contribution (Specifically for Harnesses).

Preferred - Prior experience in a Forward-Deployed-Engineer-style or embedded consulting role.

• Track record in technical pre-sales, proposal writing, or account growth.
• Public technical writing or conference speaking on AI/agentic architecture.
• Owns proposal and pipeline development directly