Our client, one of India's leading life insurance companies, is seeking a strategic and visionary AI leader with a proven track record in building and executing Generative AI strategies.

The ideal candidate will thrive in a dynamic environment and possess a passion for researching, learning, and developing innovative AI solutions that deliver significant business impact.

This role will be responsible for designing and implementing AI initiatives that create value across Operations, Risk, Underwriting & Claims, and Customer Service, while also shaping the organization's Generative AI roadmap. The position requires a blend of strategic foresight and disciplined execution, offering a unique opportunity to drive digital transformation and embed intelligence into core business processes.

Key Responsibilities:

- Define and lead the Generative AI strategy for Operations, Risk, Underwriting & Claims, and Customer Service.

- Collaborate with business leaders to identify high-value AI use cases, prioritizing based on ROI, speed-to-value, and regulatory requirements.

- Champion Generative AI adoption-educate stakeholders, run pilots, and ensure safe, compliant scaling of solutions.

- Develop frameworks to measure and communicate the value and ROI of AI initiatives.

- Oversee the design and deployment of AI/GenAI solutions, making key technical decisions on model selection, fine-tuning, and architecture.

- Ensure solutions are production-ready and seamlessly integrated into existing workflows.

- Work closely with Legal, Compliance, and Risk teams to meet regulatory standards for AI models and customer interactions.

- Build and nurture relationships with industry and academic partners to bring fresh perspectives and showcase organizational learnings.

- Mentor and guide the AI team, fostering a culture of innovation, delivery, and continuous learning.

- Develop a high-performing team of business-focused, technically excellent problem solvers.

Key Competencies & Skills:

- Master's or PhD in a quantitative discipline (Computer Science, Machine Learning/AI, Statistics, Mathematics, Engineering, Econometrics, or equivalent).

- 10+ years of experience in AI/ML, with at least 7 years in senior leadership roles; BFSI experience strongly preferred.

- Demonstrated success in developing and deploying AI/ML solutions in financial services.

- Deep expertise in AI/ML model development, deployment, and Generative AI/LLMs (including fine-tuning, prompt engineering, RAG, embeddings, LLMOps, and bias controls).

- End-to-end delivery experience: data engineering, feature engineering, model development, containerized deployment (microservices), CI/CD, monitoring, and lifecycle management.

- Proficiency in Python, ML frameworks, and MLOps practices.

- Strong understanding of data architecture, pipelines, and cloud platforms (AWS preferred).

- Passion for continuous learning and thought leadership in AI.

- Excellent stakeholder management, communication, and executive presence.