Artificial Intelligence Leader – Insurance

1 week ago

Thoothukudi, Tamil Nadu, India beBeeGenerative Full time ₹ 1,80,00,000 - ₹ 2,20,00,000
Job Title: AI Strategy Lead – Insurance Domain

The ideal candidate will drive large-scale AI strategy, execution, and leadership within the insurance domain.

Key Responsibilities:
  • Strategy & Roadmap:
    • Define and execute AI strategy across core insurance functions (underwriting, claims, fraud, pricing, customer experience).
    • Identify business opportunities where AI/ML 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, proofs-of-concept, 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:
    • Computer Science, Engineering, or related field (Master's preferred).
  • Certifications:
    • 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).

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