Chief Artificial Intelligence Strategist

2 days ago

Thiruvananthapuram, Kerala, India beBeeArtificialIntelligence Full time ₹ 2,50,00,000 - ₹ 3,00,00,000
Lead AI Strategy and Delivery

Drive the development of large-scale AI strategy, execution, and leadership in insurance. Define and deliver a comprehensive roadmap for Generative AI, oversee global teams, and design enterprise-scale solutions that transform underwriting, claims, fraud detection, pricing, and customer experience.

Key Responsibilities:
  • Strategy & Roadmap:
  • Define and execute the Generative AI strategy across core insurance functions.
  • Identify business opportunities where AI/ML and LLMs can create measurable impact.
  • Leadership & Team Management:
  • Lead, mentor, and scale global teams of 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.
  • 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

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.
  • Insurance Domain: Proven applications of AI/ML in claims automation, fraud analytics, underwriting, and policy servicing.
  • Leadership & Communication: Experience managing large-scale programs and global AI delivery teams.
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).

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