Sr. Delivery Manager (AI/ML)

EPAM Systems Inc; Newtown (PA); Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Medical, Dental and Vision 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

Job summary

EPAM Systems, Inc. is seeking a technology-forward ML/AI Delivery Manager to drive business development, partner engagement, and pre-sales while overseeing end-to-end ML/AI program delivery.

The role bridges strategic business goals with technical execution, coordinating from sales through delivery with EPAM teams. You will own complex data delivery programs, shape governance, and lead discovery, architecture roadmaps, and stakeholder workshops to ensure high-quality, scalable solutions in a

Qualifications

• 10+ years in IT with senior delivery leadership experience.
• 5+ years as Delivery Manager or Solutions/Enterprise Architect.
• Proven SME in ML/AI with large-scale projects.
• Hands-on GCP with architectural depth.
• Experience on at least one major cloud platform (preferably GCP).
• Extensive experience in solution design, RFPs, MVP delivery.
• Background in Software Engineering/EA balancing pre-sales & delivery.
• Active GCP certifications strongly preferred.

Responsibilities

• Oversee end-to-end delivery of ML/AI projects with quality and timely execution.
• Lead data delivery programs, establish governance, and guide discovery phases.
• Drive ML/AI initiatives leveraging GCP and Gemini Enterprise.
• Build architecture visions, diagrams, and roadmaps aligned to business needs.
• Partner with customers and product management to define application and cloud requirements.
• Design and facilitate workshops to capture requirements and align strategy.
• Lead architecture team to deliver cost-effective solutions.
• Drive pre-sales activities including client demos and architectural proposals.

Skills

IT leadership

Delivery management

Pre-sales experience

ML/AI SME

GCP expertise

Cloud architecture

Enterprise architecture

Stakeholder management

Technical consulting

RFP/RFQ responses

Tools

GCP

Gemini Enterprise

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.