Sr. Delivery Manager (Gemini Enterprise Specialist)

EPAM Systems

Seattle (WA)

On-site

USD 180,000 - 250,000

Full time

14 days+
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Benefits offered by this job

Medical insurance
Health Savings Account
Flexible Spending Accounts
Disability Insurance
Life and AD&D Insurance
Employee Assistance Program
LinkedIn learning access
401(k) Matching
Paid time off (15-25 days)
Paid holidays (9)
Legal Plan
Identity Theft Protection
Pet Insurance
Employee Stock Purchase Program
Annual bonus program
Long-Term Incentive program

Job summary

EPAM Systems is seeking an ML and AI Projects Delivery Manager 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 program and delivery management.

You will drive pre-sales, RFP responses, architecture oversight, and end-to-end GenAI deployments for enterprise clients, guiding ADK implementations and secure production environments.

Qualifications

  • 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

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

Skills

IT experience 10+ years
Delivery management
Pre-sales and delivery
Client-facing consulting
GenAI/ML SME

Tools

Gemini Enterprise Deployment Certification
GCP (Google Cloud Platform)
ADK deployments

Job description

EPAM is seeking an ML and AI Projects Delivery Manager 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

We offer
  • Medical, Dental and Vision Insurance (Subsidized)

  • Health Savings Account

  • Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)

  • Short‑Term and Long‑Term Disability (Company Provided)

  • Life and AD&D Insurance (Company Provided)

  • Employee Assistance Program

  • Unlimited access to LinkedIn learning solutions

  • Matched 401(k) Retirement Savings Plan

  • Paid Time Off – the employee will be eligible to accrue 15-25 paid days, depending on specific level and tenure with EPAM (accrual eligibility may change over time)

  • Paid Holidays - nine (9) total per year

  • Legal Plan and Identity Theft Protection

  • Accident Insurance

  • Employee Discounts

  • Pet Insurance

  • Employee Stock Purchase Program

  • If otherwise eligible, participation in the discretionary annual bonus program

  • If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program

This Remote Position Cannot be Performed in New York City.

In accordance with the LA County Fair Chance Ordinance, you may find a copy of the Notice containing a summary of the Ordinance’s key provisions here: Concept FCO Posting 8 27 24 (lacounty.gov)

EPAM Systems, Inc. is an equal opportunity employer. We recognize the value of diversity and inclusion in creating success for our customers, business partners, shareholders, employees and communities. We are committed to recruiting, hiring, developing and promoting employees without discrimination. As a global employer, this commitment includes complying with all laws in the countries in which we operate. Nevertheless, we believe equal employment practices should not be limited to what the law requires. Equal opportunity and inclusion are essential to motivate, empower and recognize the best in everyone.

At EPAM, employment actions are based on individual qualifications, without regard to race, color, religion, creed, gender, pregnancy status, sexual orientation, gender identity, gender expression, marital or familial status, national origin, ancestry, genetics, age, disability status, veteran status, citizenship status when otherwise legally able to work, or any other characteristic protected by law.

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