applied AI director

EPAM helps organizations turn advances in generative AI into measurable business outcomes. It combines engineering expertise with industry knowledge to help clients identify, design, and scale AI-enabled solutions that deliver real value.

• Advise C-suite and board-level stakeholders on agentic transformation within their industry domain
• Define and drive client AI strategies, applying practical knowledge of generative AI and agentic systems to validate assumptions, challenge flawed thinking, and guide business decisions
• Conduct discovery and ideation activities that turn complex business challenges into prioritized AI opportunities with a clear path to value
• Drive enterprise AI adoption by identifying high-impact use cases, quantifying business value, and leading organizational change for sustainable outcomes
• Lead cross-functional teams across engineering, data, design, and business functions from concept through production and adoption
• Grow EPAM's Applied AI practice by contributing to talent development, commercial performance, and market positioning
• Originate and convert enterprise opportunities by shaping engagements, building business cases, and leading presales activities with account and sales teams
• Track industry, market, and competitive developments to help shape client strategy and EPAM go-to-market initiatives
• Mentor consultants, specialists, and client stakeholders while helping build AI capabilities across the practice

• At least 5 years of experience in one of these industries: Banking, Financial Services, Insurance, Healthcare, Life Sciences, Energy, or Utilities, including responsibility for business performance, operating models, or transformation initiatives
• Deep industry expertise and a strong understanding of business drivers, regulatory environments, unit economics, and competitive dynamics within the relevant sector
• Hands-on expertise in generative AI and agentic systems, including large language models, multi-agent orchestration frameworks, leading AI platforms, and hyperscaler ecosystems such as AWS, Azure, or Google Cloud
• Proven experience deploying AI solutions into production and explaining the value delivered, challenges encountered, and how they were addressed
• Executive stakeholder management experience with senior, C-suite, and board-level leaders to drive AI adoption and large-scale organizational change
• Commercial acumen across revenue, margin, utilization, opportunity development, business case creation, and engagement growth
• A transformation leadership mindset focused on reimagining business models, operating models, and value creation through applied AI rather than incremental optimization
• A strong perspective on the role of agentic AI within the relevant industry, including where AI can create competitive advantage and where human judgment remains critical
• Practical expertise in at least one specialty area: AI governance and responsible AI, agentic evaluation frameworks, conversational AI, voice AI, or token economics and cost modeling
• Будет плюсом: experience deploying AI solutions in production environments, knowledge of AI governance, responsible AI or risk management frameworks, experience with conversational AI, voice technologies or multi-agent systems, familiarity with AWS, Microsoft Azure or Google Cloud AI services, experience contributing to thought leadership, market analysis or industry-focused go-to-market activities

• Hybrid work setup with flexibility to work from the UK, Ireland, Netherlands, Germany, or Switzerland; occasional office visits are required