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Tier-1 brand and Bangalore metro increase competition, but senior, niche AI leadership reduces applicant density.
Role demands deep ML/AI leadership and LLM experience specific to decisioning and fraud, limiting cross-industry transferability.
Senior director requires deep AI leadership, LLM expertise, and governance, so filters are stringent.
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Lead the AI Engineering team to develop and deploy advanced AI solutions, focusing on large language models to enhance fraud detection, decision automation, and operational processes.
Set technical vision and governance standards for AI systems ensuring scalability, robustness, and compliance with regulatory requirements.
Partner with product and UX teams to translate business needs into AI-driven engineering roadmaps and deliver cohesive user experiences.
Proven experience leading engineering teams focused on advanced AI, specifically large language models.
Experience with model fine-tuning, evaluation frameworks, backtesting, A/B testing, and model drift detection in production environments.
Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field.
Work Experience Required: Not explicitly mentioned in the JD.
Demonstrated leadership in delivering complex, large-scale AI projects in software, machine learning, or data engineering domains.
Strong expertise in scalable and secure AI system architecture with responsibility for model governance and compliance in regulated environments.
Experienced in cross-functional collaboration to align AI engineering with strategic business objectives.