Golang Software Engineering Lead - GenAI platforms - Senior Vice President

About the Role We're seeking an exceptional Golang Software Engineering Lead - GenAI platforms to drive the backend technical vision and full-stack execution of our enterprise GenAI platform serving 180,000+ Citi employees globally. This is a senior technical leadership role for someone who wants to architect scalable, high-performance AI systems at the intersection of modern cloud-native development and cutting-edge AI—combining hands-on engineering excellence with strategic technical leadership. You'll work with cutting-edge AI infrastructure including Claude, Gemini, and proprietary Citi models running on OpenShift/Kubernetes, building the next generation of AI-powered backend services and microservices that transform how employees interact with enterprise AI systems. About Our Team Our team operates like a research-driven startup within Citi, rapidly innovating on AI user experiences while maintaining enterprise-grade reliability, security, and compliance. We build and operate Citi Stylus Workspaces and other mission-critical GenAI platforms that demand exceptional scalability, performance, and reliability at global scale. Our platforms integrate cutting-edge AI models to provide secure, compliant, and powerful AI capabilities across the organization. Our microservices architecture is built with Go and React, deployed on OpenShift/Kubernetes, and incorporates sophisticated document understanding, agentic capabilities, and integration with numerous internal systems. What You'll Do Architecture & Development * Design, develop, and maintain core components of our production GenAI platform * Architect new systems and services that scale to enterprise requirements (180,000+ users) * Implement complex features across the entire stack, from backend services to frontend interfaces * Design and implement scalable microservices architecture for complex GenAI applications * Build sophisticated document processing and transformation pipelines * Optimize system performance, particularly for AI-related operations and high-throughput scenarios * Collaborate with AI researchers to implement state-of-the-art techniques * Develop real-time streaming architectures for AI responses using WebSockets and Server-Sent Events * Implement advanced caching strategies and distributed system patterns AI/ML Engineering * Build practical LLM-based applications with production-grade reliability * Implement prompt engineering techniques and patterns for enterprise use cases * Architect vector database solutions and semantic search capabilities * Design streaming architectures for AI responses and real-time collaboration * Integrate multiple LLM providers (Claude, Gemini, proprietary models) * Develop agentic capabilities and multi-agent system orchestration * Optimize AI inference performance and cost efficiency DevOps & Production * Design and implement observability solutions for AI-specific metrics and general system health * Create and maintain deployment pipelines and configuration for multiple environments * Build comprehensive CI/CD pipelines using GitOps workflows * Participate in production support rotation and incident response * Lead production incident response, root cause analysis, and blameless postmortem processes * Analyze and resolve complex production issues across the stack * Implement monitoring, error tracking, and alerting for production applications * Optimize build processes and deployment strategies for performance Cloud & Infrastructure * Design and implement Kubernetes/OpenShift deployment patterns and Helm charts * Architect service mesh implementations (Istio) for microservices communication * Implement infrastructure-as-code and GitOps workflows * Design network architecture for distributed systems * Ensure security best practices including OAuth/JWT, Vault integration, and document classification * Build container-based deployment strategies with high...