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. 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
