Posted:2 days ago|
Platform:
On-site
Full Time
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.
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.
Michael Page
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gurgaon, haryana, india
Salary: Not disclosed
