Back to SearchDirector, Applied AI Transformation - Energy & Utilities (m/f/d)
Hybrid in Germany
Product Management
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We're looking for a Director, Applied AI Transformation – Energy & Utilities (m/f/d) to join our team across multiple European locations in a hybrid or remote working mode. You will lead enterprise-scale agentic transformation across business and IT for global energy and utilities organizations. Acting as a trusted advisor to C-suite executives, you will drive the design, deployment and adoption of AI and agentic solutions that deliver measurable business impact in a complex, highly regulated environment.
Responsibilities
- 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
Requirements
- 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