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Strong employer brand and metro location but niche GenAI specialization reduces applicant density.
Requires deep GenAI expertise and banking domain experience, limiting transferability across industries.
Multiple mandatory year minimums, LLM/GenAI production experience, and cloud certification requirements make filters highly stringent.
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Lead and manage engineering teams to deliver robust, scalable Generative AI and Agentic AI solutions for Claims & Recovery processes within the Chief Operating Office – Fraud & Claims Technology.
Drive adoption and architecture of multi-agent orchestration frameworks, LLM evaluation pipelines, and AI systems on cloud platforms (Azure, Google Cloud) ensuring enterprise-grade, production-ready deployments.
Collaborate with cross-functional teams including Product Managers, AI/ML research, and security to integrate AI capabilities, enforce technical standards, and align AI programs’ OKRs and KPIs with strategic business objectives.
7+ years of software engineering experience.
3+ years of management or leadership experience.
5+ years of experience with Large Language Models (LLMs) and related technologies; 2+ years deploying GenAI applications in production.
Strong experience in Banking and Financial domain specifically solving complex business problems with Agentic AI solutions.
Technical leader with hands-on experience architecting and implementing Agentic AI frameworks and multi-agent orchestration in production environments.
Experienced in managing interdisciplinary engineering teams delivering AI-powered enterprise applications on cloud-native and containerized platforms.
Proven ability to partner across architecture, risk, product, and operations teams within financial services to deliver compliant, scalable AI solutions aligned with strategic objectives.