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Director, Applied AI Transformation - Telecommunications

Hybrid in France, & 6 others
Product Management
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We're looking for a Director, Applied AI Transformation – Telecommunications to join our team across Europe in a hybrid or remote working mode. In this role, you will lead enterprise-scale AI and agentic transformation programs for global telecommunications organizations, acting as a trusted advisor to C-suite executives and enabling strategies that drive measurable business impact across highly competitive and regulated markets.

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