Source description
About the role
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
More at Grid Dynamics