Applied AI Director

EPAM Systems; Netherlands; On-site; EUR 150,000 - 210,000; Full time

Job summary

EPAM Systems Inc is seeking an Applied AI Director to join a hybrid team across Europe. You will advise C-suite leaders on AI transformation, shape strategic initiatives, and move client engagements from experimentation to production-ready AI solutions.

You will collaborate with multidisciplinary teams in consulting, engineering, design and data, growing the Applied AI practice and guiding large-scale organizational change. Hybrid work with frequent cross-border collaboration is expected.

Qualifications

• 5+ years of industry-specific transformation experience.
• Deep understanding of business drivers and regulatory considerations.
• Hands-on expertise in generative AI and agentic systems.
• Proven executive stakeholder management with C-suite and boards.
• Strong commercial and go-to-market acumen.
• Leadership mindset for reimagining operating models with AI.

Responsibilities

• Act as trusted advisor to C-suite and board-level stakeholders on AI transformation.
• Define and drive AI strategies with practical generative AI applications.
• Identify high-impact AI opportunities with clear value pathways.
• Lead cross-functional teams from concept to production adoption.
• Grow the Applied AI practice through talent development and market positioning.
• Shape engagements, build business cases and lead presales with account teams.
• Monitor market and competitive developments to inform strategy.
• Mentor consultants and client stakeholders to build AI capabilities.

Skills

Executive stakeholder management

Commercial acumen

Transformation leadership

Generative AI experience

Agentic AI knowledge

Industry SME guidance

Tools

AWS

Azure

Google Cloud

AI platforms

Job description

We're looking for an Applied AI Director to join our team in the UK or Europe in a hybrid working mode. This position offers a hybrid work setup with flexibility to work from UK, Ireland, Netherlands, Germany or Switzerland and occasional office visits required. At EPAM, we help organizations turn advances in generative AI into measurable business outcomes. We combine deep engineering expertise with industry knowledge to help clients identify, design and scale AI-enabled solutions that deliver real value. In this role, you will advise senior business leaders on AI transformation, shape strategic initiatives and help clients move from experimentation to production-ready solutions. You will work closely with multidisciplinary teams across consulting, engineering, design and data to deliver impactful results.

Responsibilities

• Act as a trusted advisor to C-suite and board-level stakeholders on agentic transformation within your industry domain
• Define and drive AI strategies for clients, 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 transform 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 the organizational change needed 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

Requirements

• Industry SME : 5+ years' experience within 1 of Banking, Financial Services, Insurance, Healthcare, Life Sciences, Energy or Utilities, including responsibility for business performance, operating models or transformational initiatives
• Deep industry expertise with a strong understanding of business drivers, regulatory environments, unit economics and competitive dynamics within your 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, with the ability to explain how solutions delivered value, where challenges emerged and how they were addressed
• Executive stakeholder management experience working 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
• Transformation leadership mindset focused on reimagining business models, operating models and value creation through applied AI rather than incremental optimization
• Strong perspective on the role of agentic AI within your industry, including where AI can create competitive advantage and where human judgment remains critical
• Practical expertise in at least one specialty area, including AI governance and responsible AI, agentic evaluation frameworks, conversational AI, voice AI or token economics and cost modeling
• Nice to have 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