Job Summary
We are looking for strategic and visionary AI leader who is enthusiastic for an exciting, fast-paced work environment and have a strong personal interest in learning, researching, and creating cutting edge AI solutions which makes high business impact.
This role is a unique opportunity to be at the forefront of transforming how we operateand embed intelligence in our digital journeys.
Key responsibilities:
- Define and execute the AI / GenAI strategy for core operations in an Insurance firms.
- Partner withbusiness 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, runpilots, and drivescaled adoption whileensuring safety and compliance.
- Establish robust frameworks to trackand communicate the value and ROI of AI initiatives to all stakeholders.
- Lead designand 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 withLegal, 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 outsidein perspective, seeking new and innovative approaches and to showcase our learnings.
- Mentor &guide the teamin 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, withstrong culture of solution delivery, continuous learning and experimentation.
Key Stakeholders & Working Span
- Internal CXOs, Seniorleadership, Business Leaders, Tech leaders
- External Partners, cross-industry / academia forums.
Key Competencies/Skills
- Master's or PhD in a quantitative discipline (CS, ML/AI, Statistics, Mathematics, Engineering, Econometrics or equivalent).
- 15 or more yearsof experience in AI/ML with7+ years in senior leadership roles building AI/ML programs; demonstrated experience in insurance/financial services strongly preferred.
- Proven trackrecord of developing and deploying AI/ML solutions in BFSI sector.
- Deep expertise in AI/ML modeldevelopment and deployment.
- Practical, demonstrable work experience in GenerativeAI / LLMs modelfine-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.
