Job Description

Leverage artificial intelligence and machine learning to solve complex business problems across the insurance value chain.
Design and implement AI solutions that create value in Operations, Risk, Underwriting & Claims, and Customer Service, while also evangelizing and shaping the organization's Generative AI strategy across these areas.
As the AI lead, you will be responsible for -

• Define and execute the AI / GenAI strategy for Operations, Risk, Underwriting & Claims, and Customer Service functions.
• Partner with business heads to identify high-value GenAI use cases and prioritize by ROI, speed-to-value and regulatory sensitivity.
• Act as the chief evangelist for Generative AI - educate stakeholders, run pilots, and drive scaled adoption while ensuring safety and compliance.
• Establish robust frameworks to track and communicate the value and ROI of AI initiatives to all stakeholders.
• Lead design and delivery of AI / GenAI solutions and own technical decisions on model selection, fine-tuning, RAG/embedding architectures, etc.
• Ensure deployed solutions are production-grade and integrated within existing workflows / systems.
• Work with Legal, Compliance and Risk to ensure IRDAI/regulatory expectations are met for model use and customer interactions.
• Build and manage external relationships with various cross-industry/ academia forums for outside in perspective, seeking new and innovative approaches and to showcase our learnings.
• Mentor & guide the team in executing the projects end to end including conceptualization, development, implementation and continuous monitoring.
• Build and nurture a strong team to become next generation business focused problem solvers, with strong culture of solution delivery, continuous learning and experimentation.

Define organizational AI strategy Lead a dynamic team and work in a fast paced environment
As a successful candidate, you should have -

• Ability to form partnerships with functional leaders.
• Improvement in operational efficiencies of functions supported. Showcase actual business benefit from implemented AI/ML solutions.
• Number of AI/GenAI use case implementation
• Key people metrics - capability, engagement, attrition.

• Master's or PhD in a quantitative discipline (CS, ML/AI, Statistics, Mathematics, Engineering, Econometrics or equivalent).
• 15 or more years of experience in AI/ML with 7+ years in senior leadership roles building AI/ML programs; demonstrated experience in insurance/financial services strongly preferred.
• Proven track record of developing and deploying AI/ML solutions in BFSI sector.
• Deep expertise in AI/ML model development and deployment.
• Practical, demonstrable work experience in Generative AI / LLMs - model fine-tuning, prompt engineering, RAG, embeddings, LLMOps and hallucination/bias controls.
• End-to-end delivery experience: data engineering, feature engineering, model development, containerised deployment (microservices), CI/CD, monitoring and model lifecycle management.
• Proficiency in python, ML frameworks and MLOPs practices.
• Strong understanding of data architecture, data pipelines and cloud platforms (AWS preferred).
• Passion for continuous learning and thought leadership in AI.
• Excellent stakeholder management, communication and executive presence.

Our client is a leading insurance firm

• Work in a fast paced and data driven environment.
• Being responsible for organisation level strategic decision making.

Skills Required