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. 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
Requirements
- 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
