AI Delivery Lead — End-to-End Impact

EPAM Systems Inc; Colombia; Remote; COP 120,000,000 - 180,000,000; Full time

Job summary

EPAM Systems Inc. is seeking a Delivery Manager to lead impactful AI initiatives within a fast-paced tech organization.

You will own end-to-end delivery, coordinate multiple workstreams, manage risks, and guide cross-functional teams with hands-on Agentic AI and architecture expertise. You will collaborate with internal stakeholders and external partners to align outcomes with business goals, rebaseline scopes when needed, and continuously improve delivery processes across cloud environments and

Qualifications

• 5+ years engineering background.
• 2+ years in senior/lead/manager/owner-type roles.
• Hands-on work with Agentic AI and solution architecture.
• Experience guiding multiple cross-functional teams and programs.

Responsibilities

• Own end-to-end project delivery from initiation to release.
• Define delivery roadmaps with deadlines and resource plans.
• Coordinate parallel workstreams and manage risks.
• Provide clear reporting to senior leadership and stakeholders.
• Develop client partnerships and manage shifting expectations.
• Guide multi-disciplinary teams and foster accountability.
• Rebaseline scope, budgets, and schedules as needed.
• Identify process gaps and implement improvements.
• Ensure quality controls across all delivery stages.

Skills

Delivery management

Solution architecture

Agentic AI

Python scripting

Cloud infrastructure

Digital Project Management

English proficiency

Tools

Python

Job description

EPAM Systems Inc. is seeking a Delivery Manager to lead impactful AI initiatives within a fast-paced tech organization.

You will own end-to-end delivery, coordinate multiple workstreams, manage risks, and guide cross-functional teams with hands-on Agentic AI and architecture expertise. You will collaborate with internal stakeholders and external partners to align outcomes with business goals, rebaseline scopes when needed, and continuously improve delivery processes across cloud environments and