We are seeking an experienced AI Architect to lead the design and implementation of cutting-edge AI solutions from concept to production. This role combines deep technical expertise in AI/ML with strong leadership and communication skills to bridge business needs with engineering excellence. The ideal candidate will have 7-10 years of experience building production-grade AI & Data systems, with particular expertise in LLMs, cloud platforms, and end-to-end project delivery. You'll architect scalable AI solutions, guide technical teams through complex implementations, and balance cutting-edge innovation with practical business outcomes.
Essential functions
- 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.
- 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.
Qualifications
- 7-10 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).
Would be a plus
- 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
We offer
About us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.