Director, Applied AI Transformation - Insurance (m/f/d)

We’re looking for a Director, Applied AI Transformation – Insurance (m/f/d) to join our team across multiple European locations in a hybrid or remote working mode. Overview In this strategic role, you will lead enterprise‑scale agentic transformation for leading insurance organizations including life, P&C, and reinsurance carriers and brokers. You will act as a trusted advisor to C‑suite executives and drive the design and adoption of applied AI solutions that deliver measurable business outcomes across complex regulatory environments. Responsibilities 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. Qualifications 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. #J-18808-Ljbffr EPAM Systems