Regional AI Run Lead
EPAM Systems, Inc.
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 a Regional 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
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