Senior ML/AI Delivery Leader (Remote)

EPAM Systems

San Jose (CA)

Remote

USD 180,000 - 240,000

Full time

14 days+

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Benefits offered by this job

Medical, Dental & Vision
HSA
401(k) with match
PTO 15–25 days
Bonus program
Stock Purchase Plan

Job summary

EPAM Systems is seeking a technology-forward ML/AI Delivery Manager to drive business development, partner engagement, and pre-sales while overseeing ML/AI program delivery. This role connects strategic goals with technical execution, leading engagements from sales to delivery.

The candidate will own end-to-end ML/AI delivery, lead architecture governance, and collaborate with customers to define cloud architecture requirements, workshops, and roadmaps.

Qualifications

  • 10+ years in IT, incl. 5+ years in delivery or architecture leadership.
  • Experience as a technical consultant with pre-sales and end-to-end delivery ownership.
  • Proven SME in ML/AI with large-scale project delivery.
  • Hands-on GCP with architectural expertise; cloud platform experience required.
  • Strong engagement with senior stakeholders and solution design.

Responsibilities

  • Own end-to-end delivery of ML/AI projects with quality and timeliness.
  • Manage data delivery programs, establish governance, lead discovery.
  • Drive strategic ML/AI initiatives using GCP and Gemini Enterprise.
  • Create architecture visions, diagrams, and roadmaps aligned to business goals.
  • Collaborate with customers/product management to define requirements.
  • Facilitate workshops to capture requirements and shape strategy.
  • Lead the architecture team to deliver cost-effective solutions.
  • Drive pre-sales activities: client demos, proposals, RFP/RFQ/RFI responses for GenAI.
  • Lead enterprise-scale technical discussions with senior stakeholders.

Skills

ML/AI delivery
GCP architecture
Pre-sales
Stakeholder mgmt

Tools

GCP
Gemini Enterprise

Job description

EPAM Systems is seeking a technology-forward ML/AI Delivery Manager to drive business development, partner engagement, and pre-sales while overseeing ML/AI program delivery. This role connects strategic goals with technical execution, leading engagements from sales to delivery.

The candidate will own end-to-end ML/AI delivery, lead architecture governance, and collaborate with customers to define cloud architecture requirements, workshops, and roadmaps.

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