Assistant Vice President – Generative AI with Insurance

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Role Overview

Assistant Vice President – Generative AI / AI-ML

deep technical expertise, strong leadership skills, and insurance domain knowledge

Key Responsibilities

• Strategy & Roadmap

• Define and execute the Generative AI strategy across core insurance functions (underwriting, claims, fraud, pricing, CX).
• Identify business opportunities where AI/ML and LLMs can create measurable impact.

• Leadership & Team Management

• Lead, mentor, and scale global teams of 50+ Data Scientists, AI/ML Engineers, and Cloud Specialists.
• Foster innovation through hackathons, PoCs, and capability-building programs.

• Architecture & Delivery

• Architect, design, and deliver

  LLM-powered solutions

  using OpenAI, LangChain, Falcon, Dolly, LLaMA, and similar frameworks.
• Oversee development and deployment of predictive, prescriptive, and generative AI models.
• Ensure solutions are scalable, secure, and production-ready using Azure ML, Databricks, GCP Vertex AI, MLFlow, etc.

• Governance & Compliance

• Establish and enforce

  AI governance, ethical AI practices, and compliance frameworks

  .
• Ensure all solutions align with regulatory and data privacy requirements.

• Client Engagement & Thought Leadership

• Collaborate with insurance leaders and clients to co-create high-value solutions.
• Represent the organization in

  executive forums, client meetings, RFPs, and industry events

  .
• Act as a thought leader, publishing insights and driving market recognition in AI for Insurance.

Required Skills & Experience

• IT & AI Expertise

• 20+ years in IT, including 10+ years in AI/ML and at least 3 years in Generative AI.
• Strong hands-on expertise with

  Python, PySpark, SQL, ML/DL architectures (ANN, CNN, RNN, LSTM, GRU, AutoEncoders)

  .
• Proficiency with

  Generative AI frameworks

  (OpenAI, LangChain, ChromaDB, Falcon, Dolly, LLaMA, TensorFlow, PyTorch, Kedro).

• Cloud & MLOps

• Hands-on experience with

  Azure (preferred), AWS, and GCP

  .
• Strong exposure to

  MLOps, CI/CD pipelines, Kubernetes, DevOps tools

  for scalable AI delivery.

• Insurance Domain

• Proven applications of AI/ML in

  claims automation, fraud analytics, underwriting, and policy servicing

  .
• Business acumen to translate insurance requirements into AI-driven solutions.

• Leadership & Communication

• Experience managing large-scale programs and global AI delivery teams.
• Strong stakeholder management skills with the ability to engage

  C-suite executives

  .
• Track record of driving

  innovation, automation, and transformation

  in enterprise settings.

Education & Certifications

• Bachelor’s Degree in

  Computer Science, Engineering, or related field

  (Master’s preferred).

• Project Management Professional (PMP – PMI)

  .

• Microsoft Certified: Azure Data Scientist & Azure AI Engineer

  .

• IBM-Coursera Data Science Professional

  .

• Scaled Agile (SAFe) Practitioner

  .

• Deep Learning & Advanced AI certifications

  (preferred).