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EPAM
Open role>14 days

Director, Applied AI Transformation - Insurance

EPAMBelgium; France; Switzerland; Ireland; Netherlands; Spain; United Kingdom; Sweden
Work model
Hybrid
Experience
10+ years
Employment
Not specified
Compensation
Not disclosed
Technology signal
6 tags

Technology context

6

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AILLMAWSAzureRAGGCP

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Role description

We're looking for a Director, Applied AI Transformation - Insurance 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