Google Agentic AI Architect

Job description

EPAM is seeking an ML and AI Projects Delivery leader specializing in Google Cloud's Generative AI ecosystem, with a focus on Gemini Enterprise. This role leads our most advanced AI engagements — combining deep LLM expertise with proven program and delivery management — while driving pre-sales, RFP responses, and architectural oversight for enterprise-scale Gemini deployments.

Req# 1060761280

Responsibilities

- Build architecture visions and technology roadmaps centered on Gemini Enterprise and the broader GCP AI ecosystem

- Proven experience as a Technical Consultant, successfully leading both pre-sales engagements and end-to-end project delivery

- Lead and oversee complex ADK (Agent Development Kit) deployments, ensuring scalable, secure, production-ready environments

- Partner with client executives on enterprise AI platform builds and Generative AI transformations

- Drive pre-sales activities/business development — client demos, architectural proposals, and RFP/RFQ/RFI responses focused on GenAI strategy

- Lead engagement kickoff, establishing program governance, success metrics, and managing complex GenAI delivery programs

- Accountable for driving business development opportunities, partner interaction, pre-sale activities, and RFPs to help EPAM win new business in ML and AI domains

- Design and facilitate technical workshops with stakeholders to define enterprise application and cloud architecture requirements

- Partner with the architecture team to deliver end-to-end, cost-effective Generative AI solutions aligned to business goals

Requirements

- 10+ years in IT, including 5+ years as a Project/Program Manager, Coordinator, Solution/Systems/Enterprise Architect, or Delivery Manager with experience

- Experience working as a Technical Consultant with a proven background in both pre-sales and project delivery roles

- Active Gemini Enterprise Deployment Certification required

- Hands-on ADK deployment experience, including transitioning GenAI proofs-of-concept into production-grade enterprise applications

- Recognized SME in ML, AI, and Generative AI, with a documented track record of accomplished projects

- Deep GCP expertise, including the networking, storage, and compute foundations required to support LLMs

- Client-facing consultative background — positioning GenAI services and leading C-level discussions as a trusted advisor

- Proven ability to lead enterprise-scale technical discussions on AI integration, data privacy, and security

- Experience as a Technical Consultant managing full engagement lifecycles, from solution design and MVP development to delivery