Remote AI Delivery Lead: Multi-Team Orchestrator

EPAM Systems Inc; San Jose (CA); Remote; USD 165,000 - 243,000; Full time

Benefits offered by this job

Medical, Dental & Vision Insurance (S）

Health Savings Account

Flexible Spending Accounts

Disability Insurance

Life and AD&D Insurance

Employee Assistance Program

LinkedIn Learning access

401(k) with company match

Paid Time Off (15–25 days)

Paid Holidays (9 days)

Legal Plan & Identity Theft Protection

Employee Discounts

Pet Insurance

Employee Stock Purchase Program

Potential discretionary bonus

Job summary

EPAM Systems, Inc. is seeking a Delivery Lead to manage a value stream comprising 1-3 offshore pods. You will translate estimates into detailed plans, track progress, and optimize throughput using AI complexity points.

You’ll coordinate across vendors, manage risks, and drive continuous improvement to reduce costs and improve output. The role requires hands-on experience with AI tools, strong stakeholder communication, and a proven track record delivering software programs on time and to

Qualifications

• Experience leading delivery of multi-team software programs with external vendors, in a client-facing role.
• Track record of delivering to a plan and to commercial commitments.
• Hands-on with AI coding tools, with first-hand experience of AI-native ways of working in a team.
• Comfortable with data: delivery, cost and productivity metrics.
• Strong communication with senior client stakeholders, and the judgment to raise early.
• Insurance or financial services background is a plus.

Responsibilities

• Estimate each approved project together with the POs, the lead developer and the architects.
• Turn the estimate into a plan: milestones, sprints, pod capacity and staffing against the backlog having in mind capacity measured in AI Complexity Points.
• Map the dependencies up front, across teams, across value streams and across vendors (including other vendors), with an owner and a date on each.
• Execute against the plan. Track progress and throughput, and re-plan when scope, capacity or a dependency moves.
• Raise risks and slippage early, with the cause and the decision needed.
• Report throughput in complexity points, cycle time, defect escape and rework rate on the account cadence.
• Own the stream's part of the complexity-point baseline, and move pods from T&M to committed output.
• Move each pod through the AI factory ramp when the team is new.
• Track AI adoption and productivity per pod and per person.
• Track AI cost per pod, per person and per ticket, next to the cost of the pod itself.
• Run a continuous improvement program for the stream. Find where work is slow or expensive: rework, review queues, waiting on dependencies, model and prompt choices, runs that cost more than the ticket is worth.
• Set targets for cost per complexity point and cost per unit of work, and bring them down over time.
• Pass the factory improvements on to the pods and measure the effect.
• Keep the savings visible and tie them to EPAM margin on the output-based model

Skills

Delivery leadership

Multi-team delivery

Client-facing

AI tooling

Data-driven

Stakeholder management

Job description

EPAM Systems, Inc. is seeking a Delivery Lead to manage a value stream comprising 1-3 offshore pods. You will translate estimates into detailed plans, track progress, and optimize throughput using AI complexity points.

You’ll coordinate across vendors, manage risks, and drive continuous improvement to reduce costs and improve output. The role requires hands-on experience with AI tools, strong stakeholder communication, and a proven track record delivering software programs on time and to