Sr. Delivery Manager (AI/ML)

EPAM Systems Inc

  • Dallas, TX
  • 1 day ago

    Highlights

    This role bridges strategic business goals with cutting-edge technical execution, leading engagements from sales through delivery in close partnership with EPAM teams. 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.

    Numbers & Facts

    LocationDallas, TX

    Description

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    Sr. Delivery Manager (AI/ML)

    Remote in United States of America: Dallas, & 2 others

    Delivery Management

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    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

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