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Tier-1 employer and hybrid flexibility increase applicants, but senior niche GenAI leadership reduces competition.
Highly domain-specific GenAI, Go, and regulated-enterprise experience required, limiting cross-industry transferability.
Explicit 15+ years, leadership, and many mandatory technical requirements create highly stringent shortlisting filters.
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Lead architecture and full-stack development of Citi's enterprise GenAI platform servicing 180,000+ users globally.
Design, implement, and scale AI-powered backend microservices and middleware including document processing, real-time streaming, and vector search systems.
Provide technical leadership including mentorship, production incident management, cross-team collaboration, and strategic roadmap definition.
15+ years overall software development experience with 5+ years in technical leadership roles.
Expert-level Go programming skills (5+ years) and proficiency with TypeScript/JavaScript and React (3+ years).
Deep expertise in Kubernetes/OpenShift architecture and cloud-native microservices deployment.
3+ years practical production experience implementing AI/ML systems, specifically LLM-based applications.
Senior technical leader with extensive experience building highly scalable, enterprise-grade AI backend platforms at global scale.
Strong blend of hands-on coding expertise and architecture leadership in cloud-native environments using Go, microservices, and Kubernetes.
Proven ability to lead cross-functional teams, drive technical vision, and operate effectively in regulated industries and complex enterprise settings.