Director, Applied AI Transformation - Energy & Utilities
EPAM Systems, Inc.
UK
3 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Amazon Web Services
Microsoft Azure
Google Cloud
Large Language Models
Multi-Agent Systems
Information Technology
Job description
- 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
Do you have experience in Leadership?, 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
Benefits & conditions
Pulled from the full job description
- Employee stock purchase plan
- Employee assistance programme
- Company pension
- Private medical insurance
- Cycle to work scheme
- Tech scheme, * EPAM Employee Stock Purchase Plan (ESPP)
- Protection benefits including life assurance, income protection and critical illness cover
- Private medical insurance and dental care
- Employee Assistance Program
- Competitive group pension plan
- Cyclescheme, Techscheme and season ticket loans
- Various perks such as free Wednesday lunch in-office, on-site massages and regular social events
- Learning and development opportunities including in-house training and coaching, professional certifications, and courses
- If otherwise eligible, participation in the discretionary annual bonus program
- If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program
Apply for this position
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Apply on indeed.com
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
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