Director, Applied AI Transformation - Telecommunications

We're looking for a Director, Applied AI Transformation – Telecommunications to join our team across Europe in a hybrid or remote working mode.

Responsibilities

• Define and execute applied AI and agentic transformation strategies for telecommunications clients
• Act as a trusted advisor to senior executives on AI adoption and digital transformation initiatives
• Lead presales activities, including opportunity shaping and business case creation for AI solutions
• Facilitate ideation workshops converting complex telecom challenges into actionable AI use cases
• Drive enterprise AI adoption by identifying high-value opportunities and leading change management efforts
• Lead cross‑functional teams building and scaling multi‑agent and AI‑driven solutions
• Maintain deep expertise in large language models, orchestration platforms and applied AI ecosystems across major AI labs and hyperscalers
• Ensure AI solutions comply with regulations and meet scalability, security and reliability standards
• Mentor client and EPAM teams to expand internal AI capabilities and improve delivery impact
• Monitor industry trends and champion EPAM’s thought leadership in applied AI for telecommunications

Requirements

• 10+ years in telecommunications with leadership experience in business transformation or technology innovation
• Strong understanding of telecom regulations, customer lifecycle, network operations and cost‑to‑serve economics
• Proven track record advising senior executives and implementing AI adoption at enterprise scale
• Hands‑on applied AI experience including large language models, multi‑agent orchestration and RAG frameworks
• Familiarity with leading AI labs (OpenAI, Anthropic, Microsoft AI) and hyperscalers (AWS, Azure, Google Cloud)
• Expertise in presales and business case creation to originate and secure AI engagements
• Experience managing global, cross‑functional teams in complex regulated industries
• Excellent communication and stakeholder management skills at executive level
• Advanced degree in Computer Science, Engineering or Business; MBA preferred
• Ability to travel as required