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. Req# 1060760898 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

Requirements

Must-haves

Req# 1060760898
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
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

Nice-to-haves

Active GCP certifications strongly preferred

Application prep

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Keywords to mirror

mlaigcp

Platform: epam
Effort: medium

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