Remote Gemini Enterprise AI Delivery Architect

EPAM Systems Inc

McLean (VA)

Remote

USD 180,000 - 240,000

Full time

14 days+

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Benefits offered by this job

Health benefits
401(k) plan
Paid time off
LinkedIn Learning access
Employee discounts
Stock purchase plan
Discretionary bonus program

Job summary

EPAM Systems, Inc. seeks an experienced ML and AI Projects Delivery leader to guide Gemini Enterprise deployments on Google Cloud, blending deep LLM expertise with delivery leadership across pre-sales, RFPs, and architectural oversight for enterprise-scale GenAI implementations.

This role drives ADK deployments, engages with C-level executives on AI platform builds, and shapes governance for complex GenAI programs, enabling transformative enterprise outcomes.

Qualifications

  • 10+ years in IT, including 5+ years in project/program management or delivery leadership
  • Active Gemini Enterprise Deployment Certification required
  • Hands-on ADK deployment experience and production-grade GenAI deployments
  • Recognized SME in ML, AI, and Generative AI with proven projects
  • Deep GCP expertise across networking, storage, and compute Foundations for LLMs

Responsibilities

  • Build architecture visions and roadmaps centered on Gemini Enterprise and GCP AI ecosystem
  • Lead pre-sales engagements and end-to-end project delivery
  • Oversee ADK deployments and production-grade GenAI environments
  • Partner with client executives on enterprise AI platform builds
  • Drive pre-sales activities, RFP responses, and GenAI strategy proposals
  • Establish governance and success metrics for GenAI delivery programs
  • Engage in business development to win new ML/AI work
  • Design workshops to define cloud architecture requirements

Skills

ML/AI expertise
Pre-sales
Delivery management
Gemini Enterprise
Technical consulting
Architectural oversight
Stakeholder management
GenAI strategy

Tools

Google Cloud

Job description

EPAM Systems, Inc. seeks an experienced ML and AI Projects Delivery leader to guide Gemini Enterprise deployments on Google Cloud, blending deep LLM expertise with delivery leadership across pre-sales, RFPs, and architectural oversight for enterprise-scale GenAI implementations.

This role drives ADK deployments, engages with C-level executives on AI platform builds, and shapes governance for complex GenAI programs, enabling transformative enterprise outcomes.

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