Director, Applied AI Transformation - Telecommunications

• 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, * Life & Private medical insurance (50% of monthly cost covered by EPAM, including dental and vision insurance)
• Pension fund
• Employee Stock Purchase Plan (ESPP) (subject to eligibility requirements)
• Navigo (Ground transportation allowance, 50% of the monthly cost covered by EPAM)
• Monthly Afterwork organized by the HR Team
• EPAM Referral Program
• Remote Work (under Business & Management approval)
• IT Equipment (Laptop (HP or MacBook, according to eligibility criteria), headphones, mouse, professional phone with monthly subscription fees covered by EPAM)
• Learning and development opportunities including in-house training and coaching, professional certifications, and courses

Do you have experience in Leadership?, * 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

• 25 days of paid leave per year + reduction of the working time (RTT days, number depending on the year)