Lead complex, multi-disciplinary programs across industries —spanning traditional delivery and advanced AI/ML, GenAI, and automation — while ensuring EPAM’s delivery standards and client expectations are met

Define and manage product, AI, and delivery roadmaps in partnership with executive stakeholders, solution architects, and EPAM’s AI Centers of Excellence

Provide strong technical and delivery leadership across architecture, engineering, QA, Agile, and AI capabilities to drive scalable, secure, and compliant enterprise solutions

Own critical technology and architecture decisions, including the integration of AI to improve scalability, efficiency, and user experience

Transparently track and communicate progress, risks, and mitigation strategies to executive stakeholders throughout the program lifecycle

Build, lead, and mentor high-performing cross-functional teams while promoting AI-first methodologies in design, estimation, testing, and operations

Identify and implement standardization, process optimization, and best practices across delivery and AI-driven initiatives to improve productivity and quality

Support regional delivery strategy, pre-sales, and business development by contributing to solutioning and executive-level client interactions

15+ years of experience in software delivery, including 10+ years in senior roles such as a hands-on Delivery Lead, Solution/Enterprise Architect/Software Engineer, or Technical Lead within professional services

Senior-level leadership overseeing large-scale, complex engineering initiatives for enterprise clients, from pre-sales through execution

Strong technical foundation across software delivery management, solution architecture, SDLC, and Agile/Kanban/Waterfall methodologies

Proven ability to lead multidisciplinary teams and align diverse stakeholders to achieve high-quality delivery outcomes

Exceptional executive client management, communication, and stakeholder engagement skills

Advancing expertise in AI/ML, LLMs, GenAI, vector databases, MLOps, and AI governance, with experience integrating AI into major digital transformation programs

Strategic vision to guide executives on AI adoption, architecture, investment, and enterprise operating models, leveraging AI tools to enhance decision-making and productivity

Bachelor’s degree in Computer Science or related technical field (Master’s preferred) or equivalent experience, supported by relevant advanced certifications