Director, Applied AI Transformation - Insurance

• Define and execute applied AI and agentic transformation strategies for insurance clients
• Serve as an advisor to C-suite executives on AI adoption and digital innovation initiatives
• Lead presales efforts including opportunity shaping, business case construction and go-to-market support
• Facilitate workshops to translate business challenges into high-impact AI and agentic use cases
• Drive enterprise AI adoption and oversee change management for successful delivery
• Lead cross-functional teams delivering AI and multi-agent solutions from conception to production
• Maintain expertise in large language models, multi-agent architectures, RAG frameworks and AI orchestration platforms
• Ensure solutions meet scalability, risk, security and compliance requirements in regulated environments
• Mentor EPAM and client teams to develop AI capabilities and accelerate adoption
• Monitor emerging technologies and market trends to position EPAM as a thought leader in insurance applied AI, * 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 insurance with experience leading transformation and technology-driven innovation

• Strong understanding of insurance industry regulations, value chains and processes including underwriting, claims, distribution and reinsurance
• Proven experience advising senior executives and implementing AI adoption strategies at scale
• Applied experience with AI including large language models, multi-agent solutions and orchestration frameworks
• Familiarity with major AI labs (OpenAI, Anthropic, Microsoft AI) and hyperscaler platforms (AWS, Azure, GCP)
• Ability to originate and convert AI transformation engagements leveraging presales and business-case expertise
• Leadership experience building and managing cross-functional teams in global contexts
• Excellent stakeholder management and communication skills in regulated business environments
• 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)