Google Agentic AI Architect

Requirements:

• At least 10 years of IT experience, including 5 or more years as a Project or Program Manager, Coordinator, Solution, Systems or Enterprise Architect, or Delivery Manager.
• Experience as a Technical Consultant, with a proven background in both pre-sales and project delivery.
• Active Gemini Enterprise Deployment Certification.
• Hands-on experience deploying ADK and moving Generative AI proofs of concept into production-grade enterprise applications.
• Recognized subject-matter expertise in ML, AI, and Generative AI, supported by a record of completed projects.
• Deep Google Cloud Platform expertise, including networking, storage, and compute foundations for LLMs.
• Client-facing consultative experience positioning Generative AI services and leading C-level discussions as a trusted advisor.
• Ability to lead enterprise-scale technical discussions about AI integration, data privacy, and security.
• Experience managing full Technical Consultant engagement lifecycles, from solution design and MVP development through delivery.

Responsibilities:

• Develop architecture visions and technology roadmaps focused on Gemini Enterprise and the wider Google Cloud Platform AI ecosystem.
• Lead complex ADK deployments and ensure environments are scalable, secure, and production-ready.
• Work with client executives on enterprise AI platform development and Generative AI transformations.
• Drive pre-sales and business development, including client demonstrations, architectural proposals, and RFP, RFQ, and RFI responses focused on Generative AI strategy.
• Lead engagement kickoffs, establish program governance and success metrics, and manage complex Generative AI delivery programs.
• Develop business opportunities, collaborate with partners, lead pre-sales activities, and support bids to help us win ML and AI work.
• Design and facilitate technical workshops with stakeholders to define enterprise application and cloud architecture requirements.
• Partner with our architecture team to deliver end-to-end, cost-effective Generative AI solutions aligned with business goals.

Technologies:

• AI
• Architect
• Cloud
• Support
• LLM
• Security

More

At EPAM, we are seeking a leader for ML and AI project delivery with a focus on Google Clouds Generative AI ecosystem, especially Gemini Enterprise. In this role, you will lead advanced AI engagements by combining LLM expertise with program and delivery management, while providing architectural oversight for enterprise-scale Gemini deployments.

last updated 43 week of 2026