Director, Applied AI Transformation - Energy & Utilities

• Define and execute applied AI and agentic transformation strategies for energy and utilities clients
• Serve as a strategic advisor to C-suite executives on AI adoption and digital transformation
• Lead account-facing presales activities including shaping opportunities and building business cases
• Facilitate workshops to co-create actionable AI use cases aligned to client objectives
• Drive enterprise AI adoption by identifying high-value scenarios and leading change management
• Lead cross-functional teams delivering AI and agentic solutions from concept to production
• Maintain hands-on expertise with large language models, multi-agent platforms and AI ecosystems across major labs and hyperscalers
• Champion enterprise-scale solutions ensuring scalability, compliance and security standards
• Build and mentor EPAM and client teams to scale applied AI delivery capabilities
• Monitor market trends and evangelize EPAM's leadership in applied AI for energy and utilities

Do you have experience in Scalability?, Do you have a Master's degree?, * 10+ years in energy and utilities with experience leading transformation or large-scale technology programs

• Deep understanding of energy sector regulations, HSE requirements and operational processes across trading, generation, grid and asset management
• Proven experience advising senior executives on AI adoption and innovation strategies
• Applied experience with AI including large language models, multi-agent systems and RAG frameworks
• Familiarity with leading AI labs (OpenAI, Anthropic, Microsoft AI) and hyperscaler platforms (AWS, Azure, GCP)
• Demonstrated ability to shape business cases and originate AI engagements through presales activities
• Strong leadership experience building and managing cross-functional global teams
• Excellent communication and stakeholder management skills in regulated environments
• Advanced degree in Computer Science, Engineering or Business; MBA preferred
• Ability to travel as required

Pulled from the full job description

• Referral program
• Employee assistance program
• Pension plan, * 26 paid holiday days
• Pension plan scheme
• Disability insurance (WGA Shortfall insurance)
• Long-term disability insurance (WIA Top up insurance)
• EPAM Employee Stock Purchase Plan (ESPP)
• Commuting to work - costs reimbursement
• Laptop + corporate simcard + corporate mobile device (subject to certain eligibility requirements)
• Bike lease
• Employee Assistance Program
• Corporate Programs including Employee Referral Program with rewards
• Learning and development opportunities including in-house training and coaching, professional certifications, and courses