Sr. Delivery Manager (AI/ML)

EPAM Systems Inc; Seattle (WA); Remote; USD 140,000 - 180,000; Full time

Benefits offered by this job

Medical, Dental and Vision Insurance (

Health Savings Account

Flexible Spending Accounts (Healthcare

Short-Term and Long-Term Disability

Life and AD&D Insurance

Employee Assistance Program

LinkedIn learning solutions

401(k) Retirement Savings Plan

Paid Time Off – 15-25 days

Paid Holidays - nine per year

Legal Plan and Identity Theft

Pet Insurance

Employee Stock Purchase Program

Discretionary bonus program

Discretionary Long-Term Incentive (LTI

Job summary

EPAM Systems, Inc. is seeking a technology-first ML/AI Delivery Manager to lead end-to-end delivery of ML and AI programs, drive business development and pre-sales, and partner with EPAM teams to align strategy with execution.

The role requires deep ML/AI expertise, strong GCP experience, and a track record of managing large-scale data initiatives, architecture vision, and customer engagements.

Qualifications

• 10+ years in IT, including 5+ years as a Delivery Manager or Solution/Systems/Enterprise Architect.
• Experience as a Technical Consultant with pre-sales and end-to-end delivery ownership.
• Proven SME in ML/AI with large-scale projects.
• Active hands-on GCP experience with architectural expertise.

Responsibilities

• Own and oversee end-to-end delivery of ML and AI projects, ensuring quality, timely execution.
• Manage complex data delivery programs with governance and discovery phases.
• Drive strategic ML/AI initiatives leveraging GCP and Gemini Enterprise.
• Build architecture visions, diagrams, and roadmaps aligned to business direction.
• Partner with customers and product management to define architecture requirements.
• Design and facilitate workshops with stakeholders to capture requirements and align strategy.
• Lead the architecture team to deliver optimal, cost-effective solutions.
• Drive pre-sales activities and client demos, RFP/RFQ/RFI responses focused on GenAI strategy.
• Lead enterprise-scale technical discussions with senior stakeholders.

Skills

Delivery management

ML/AI SME

Pre-sales

End-to-end delivery ownership

Architectural thinking

GCP

Gemini Enterprise

GCP certifications

Tools

GCP

Gemini Enterprise

GCP certifications

Job description

EPAM is seeking a technology-first ML/AI Delivery Manager to drive business development, partner engagement, and pre-sales activity while overseeing delivery of ML and AI programs. This role bridges strategic business goals with cutting-edge technical execution, leading engagements from sales through delivery in close partnership with EPAM teams.

Responsibilities

• Own and oversee end-to-end delivery of ML and AI projects, ensuring high-quality, timely execution
• Manage complex data delivery programs, establishing governance and leading discovery phases
• Drive strategic ML/AI initiatives leveraging GCP and Gemini Enterprise
• Build architecture visions, diagrams, and technology roadmaps aligned to business direction
• Partner with customers and product management to define application and cloud architecture requirements
• Design and facilitate workshops with stakeholders to capture requirements and align technical strategy
• Lead the architecture team to deliver optimal, cost-effective solutions
• Drive pre-sales activities/business development — client demos, architectural proposals, and RFP/RFQ/RFI responses focused on GenAI strategy
• Lead enterprise-scale technical discussions with senior stakeholders

Requirements

• 10+ years in IT, including 5+ years as a Delivery Manager or Solution/Systems/Enterprise Architect
• Experience working as a Technical Consultant with a proven background in both pre-sales and end to end delivery ownership roles
• Proven SME in ML/AI, with a track record of accomplished, large-scale projects
• Deep hands-on GCP experience, including architectural expertise
• Implementation experience on at least one major cloud platform, ideally GCP
• Extensive experience managing technical engagements — solution design, RFP proposals, MVP delivery
• Background in Software Engineering/Enterprise Architecture balancing pre-sales and delivery execution
• Active GCP certifications strongly preferred

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.