Remote ML/AI Delivery Leader — GenAI & GCP

EPAM Systems Inc; Austin (TX); Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Medical, Dental and Vision Insurance

401(k) Retirement Savings Plan

Paid Time Off

Job summary

EPAM Systems Inc is actively seeking an ML/AI Delivery Manager to drive business development, partner engagement, and pre-sales while overseeing end-to-end ML/AI program delivery. The role blends strategic business goals with hands-on technical execution and requires deep expertise in GCP and Gemini Enterprise.

The position emphasizes leading architecture work, guiding workshops, and coordinating with clients and product teams to define cloud architecture requirements across complex engagements.

Qualifications

• 10+ years in IT with delivery ownership roles
• Proven SME in ML/AI with large-scale projects
• Hands-on GCP experience and architectural expertise
• Experience in pre-sales and end-to-end delivery ownership
• Background in software engineering or enterprise architecture balancing pre-sales and delivery

Responsibilities

• Own end-to-end delivery of ML and AI projects with high-quality execution
• Lead discovery phases and governance across data delivery programs
• Drive ML/AI initiatives leveraging GCP and Gemini Enterprise
• Build architecture visions and roadmaps aligned to business goals
• Partner with customers and product teams to define architecture requirements
• Facilitate workshops to capture requirements and align technical strategy
• Lead architecture teams to deliver cost-effective solutions
• Drive pre-sales activities including client demos and proposals
• Lead marquee technical discussions with senior stakeholders

Skills

Delivery Management

GCP Expertise

Pre-sales

Architecture

Cloud Architecture

Client Engagement

RFP Proposals

Tools

GCP

Gemini Enterprise

RFP Tools

Job description

EPAM Systems Inc is actively seeking an ML/AI Delivery Manager to drive business development, partner engagement, and pre-sales while overseeing end-to-end ML/AI program delivery. The role blends strategic business goals with hands-on technical execution and requires deep expertise in GCP and Gemini Enterprise.

The position emphasizes leading architecture work, guiding workshops, and coordinating with clients and product teams to define cloud architecture requirements across complex engagements.