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Strong employer brand plus broad GenAI skillset and metro hiring create moderate candidate competition.
Role mandates deep banking domain experience plus specialized LLM/agentic skills, reducing cross-industry transferability.
Multiple explicit years, managerial, LLM, production, and certification requirements increase screening rigidity.
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Lead engineering teams to develop and deploy enterprise-grade, scalable Generative AI and Agentic AI solutions focused on Claims & Recovery processes within the Chief Operating Office – Fraud & Claims Technology.
Own architecture, implementation, and operational delivery of multi-agent orchestration frameworks, LLM-based AI services, and ensure adherence to security, compliance, and banking platform standards.
Partner with product managers, AI/ML research, cloud, security, and business stakeholders to define strategy, OKRs, and requirements for responsible AI-powered applications and platform capabilities.
7+ years of software engineering experience; 3+ years in management or leadership roles.
5+ years experience with Large Language Models (LLMs) and related technologies; 2+ years deploying Generative AI applications in production.
Strong background in Agentic AI system design and Banking/Financial domain experience.
Professional machine learning certifications from multiple cloud providers (preferably Azure or Google) required.
Experienced senior engineering leader with hands-on expertise in GenAI architecture, multi-agent systems, and production AI deployments in financial services domain.
Proven track record managing cross-functional teams delivering complex AI/ML solutions aligned with enterprise security, compliance, and operational risk standards.
Strategic collaborator with ability to partner effectively across product management, AI research, cloud, and security teams to integrate AI capabilities into scalable business workflows.