Regional AI Run Lead, WCA

AI/Run is EPAM's operating model for enterprise AI adoption: a production-grade framework that takes organizations from isolated copilots and pilots to AI-native delivery, combining governed tooling and integration patterns, role-based enablement, and measurable tracking of adoption and ROI across the SDLC.

We are looking for aRegional AI Run Lead to own the AI/Run organization for the Western and Central Asia (WCA) region: a senior, hands-on leader who has personally shipped AI-native delivery and is accountable for the measurable AI maturity of the entire WCA geography. The scope and accountability of the role correspond to a Senior Director / VP level.

Responsibilities

• Own AI maturity across WCA: assess every delivery center in the region, assign local owners and cadences, and move teams toward production-scale AI-native delivery
• Lead the three pillars of the WCA AI/Run organization, setting priorities and allocating capacity across accounts
• Engage early in RFPs and renewals; shape managed-output and fixed-fee commercial structures and move engagements away from time-and-materials
• Grow AI-native engineering capacity through structured enablement and a pipeline of senior talent ready for forward deployment
• Represent AI maturity and transformation credibility in the client conversations where regional deals are decided
• Harvest reusable assets, accelerators, and delivery patterns from regional projects and land them in the global framework
• Build and lead a cross-location core team of AI solution architects, forward-deployed practitioners, and engineering squads delivering flagship projects
• Report against outcome metrics: maturity score movement, signed AI-native / managed-output SOWs, trained talent volume, client revenue and margin impact, and assets adopted by other regions

Requirements

• Senior delivery or engineering leadership with a hands-on record of shipping AI-native work, not advisory only
• Comfortable owning a P&L-adjacent commercial number
• Direct, practical experience with AI-assisted engineering tools and agentic delivery approaches
• Experience shaping SOWs, RFPs, and outcome-based commercial models and negotiating scope with senior client stakeholders
• Track record of building or scaling accelerators, reusable assets, or engineering platforms across teams
• Experience operating across regions, delivery centers, or large-scale programs
• Strong bias toward sharing proven approaches across geographies
• Credibility to make maturity judgments that directly influence client decisions
• Advanced English proficiency (C1 level) with exceptional written and verbal communication skills