Google Agentic AI Architect

EPAM is seeking an ML and AI Projects Delivery leader specializing in Google Clouds 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#

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

Required Experience:

Senior Manager