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Strong employer brand plus in-demand GenAI skills but senior and specialized role reduces applicant density.
Role requires specialized GenAI, agentic AI, and enterprise platform experience, making cross-industry transferability limited.
Explicit 7+ years requirement plus mandatory GenAI, platform, and regulated-industry experience increases filter strictness significantly.
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Lead design, architecture, and implementation of GenAI and Agentic AI platforms and solutions at enterprise scale for the Commercial, Corporate & Investment Banking Technology organization.
Build and scale AI-assisted software development tools, AI-powered SDLC accelerators, and multi-agent orchestration frameworks, establishing reusable AI frameworks and engineering standards.
Partner closely with Architecture, Security, Data, and Platform teams to ensure governance, scalability, responsible AI adoption, and risk management across AI engineering initiatives.
7+ years of engineering experience demonstrated through work, training, education, or military experience.
Experience with advanced AI technologies including GenAI, large language models, RAG architectures, vector databases, and AI orchestration frameworks (implied mandatory domain skills).
Experience designing and delivering enterprise-scale platforms or developer tools, with hands-on expertise in cloud-native technologies, APIs, and distributed systems.
Work Experience Required: 7+ years engineering or related roles. Notice period: Not explicitly mentioned in the JD.
Technical thought leader experienced in influencing architecture decisions across multiple enterprise groups and collaborating cross-functionally with leadership and technical teams.
Strong background in building AI-driven automation workflows, developer productivity tools, and enterprise-grade AI agents with knowledge of AI governance and responsible AI practices.
Experience in regulated industries such as Financial Services, proficient in partnering with risk, compliance, and security teams to drive innovation with controlled risk exposure.