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 to 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.