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Sr. Delivery Manager (AI/ML)

Remote in Dallas, TX, US • Posted 1 day ago • Updated 2 hours ago

Full Time

On-site

Fitment

Dice Job Match Score™

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Job Details

Skills

Bridging
Partnership
Collaboration
Roadmaps
Product Management
Cloud Architecture
IT Strategy
Business Development
RFQ
RFI
Generative Artificial Intelligence (AI)
Machine Learning (ML)
Artificial Intelligence
Cloud Computing
Management
Software Design
Request For Proposal
MVP
Software Engineering
Enterprise Architecture
Sales
Google Cloud Platform
Google Cloud

Summary

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# 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 Google Cloud Platform 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 Google Cloud Platform experience, including architectural expertise Implementation experience on at least one major cloud platform, ideally Google Cloud Platform Extensive experience managing technical engagements - solution design, RFP proposals, MVP delivery Background in Software Engineering/Enterprise Architecture balancing pre-sales and delivery execution Active Google Cloud Platform certifications strongly preferred

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10330481
Position Id: d220be1f096872e324ca631c7b41e71d
Posted 1 day ago

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