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 availability  

Leadership & Collaboration  

Define technical vision and roadmap for GenAI platform backend excellence and full-stack capabilities  

Set technical vision and drive architectural direction across multiple services and teams  

Provide technical mentorship to engineering teams and develop technical talent  

Lead architectural discussions and make strategic technical decisions  

Partner with engineering, security, and business leaders to align technology strategy with organizational objectives  

Drive engineering excellence through code reviews and best practice implementation  

Represent the engineering organization in cross-functional leadership forums  

Lead cross-functional collaboration with product managers, AI researchers, and frontend engineers  

Build and lead high-performing engineering teams  

What You Bring  

Core Technical Expertise (Must-Have)  

Programming & Software Design  

Expert-level Go programming (5+ years)   with deep understanding of concurrency patterns  

Proficiency with TypeScript/JavaScript and React (3+ years)   for full-stack development  

Strong understanding of clean architecture, SOLID principles, and design patterns  

Experience with concurrent and parallel programming  

Comfort with both statically and dynamically typed languages  

Advanced knowledge of microservices architecture and API design  

Deep understanding of RESTful APIs,   gRPC , and real-time communication protocols  

Cloud & Infrastructure  

Deep understanding of Kubernetes/OpenShift architecture   and deployment patterns  

Experience with service mesh implementations (Istio preferred)  

Knowledge of infrastructure-as-code and   GitOps   workflows  

Understanding of network architecture for distributed systems  

Experience with containerization (Docker) and orchestration at scale  

Proficiency with Helm charts and Kubernetes operators  

AI/ML Engineering  

Practical experience implementing LLM-based applications   in production environments  

Knowledge of prompt engineering techniques and patterns  

Understanding of vector databases and semantic search  

Experience with streaming architectures for AI responses  

Familiarity with AI model integration, fine-tuning, and optimization  

Understanding of RAG (Retrieval-Augmented Generation) patterns  

Data & Systems  

Experience with document processing and transformation pipelines  

Knowledge of NoSQL databases, particularly MongoDB  

Understanding of caching strategies and implementations (Redis)  

Experience with high-throughput, low-latency distributed systems  

Knowledge of S3-compatible object storage and data management  

Understanding of data consistency patterns in distributed systems  

DevOps & Reliability  

Strong understanding of observability   (metrics, traces, logs)  

Experience with CI/CD pipelines and automated testing  

Knowledge of performance testing and optimization techniques  

Experience with production incident management and resolution  

Understanding of SRE principles and practices  

Experience with monitoring tools (Prometheus, Grafana, ELK stack)  

Security & Compliance  

Knowledge of OAuth/JWT authentication and authorization patterns  

Experience with secrets management (Vault)  

Understanding of security best practices for enterprise applications  

Familiarity with compliance requirements in regulated industries  

Professional Experience  

15+ years of overall software development experience  

5+ years in technical leadership positions  

5+ years working with cloud-native architectures  

3+ years practical experience with AI/ML systems in production  

Experience leading teams building enterprise-scale systems (10,000+ users)  

Track record of successfully delivering complex technical projects at organization-wide scale  

Experience building and leading high-performing engineering teams  

History of mentoring and developing engineering talent  

Experience operating in regulated industries (finance, healthcare, government)  

Nice to Have  

Experience architecting and scaling backend systems for enterprise environments  

Knowledge of micro-frontend architecture and module federation  

Understanding of   GraphQL   and real-time data synchronization  

Experience with AI/ML interface patterns and prompt engineering UX  

Knowledge of event-driven architectures and message queuing systems  

Experience with performance optimization and load testing at scale  

Understanding of chaos engineering and resilience testing  

Familiarity with multiple programming languages and paradigms  

Who You Are  

Beyond technical skills, you are:  

Innovative problem solver   who transforms complex technical challenges into elegant, scalable solutions  

Passionate about AI-powered systems   and leveraging AI to revolutionize enterprise applications  

Hands-on technical leader   comfortable diving deep into technical details while maintaining strategic perspective  

Self-driven   with ability to work in a fast-paced, research-oriented environment  

Strong problem-solver   with a systematic approach to complex challenges  

Excellent communicator   able to articulate complex technical concepts to diverse audiences  

Collaborative   with experience working across teams (engineering, design, product, business)  

Curious   about emerging technologies with commitment to staying current  

Pragmatic   with ability to balance ideal solutions with practical constraints and timelines  

Comfortable with ambiguity   and ability to make progress with incomplete information  

Quality-focused   with strong attention to detail and commitment to engineering excellence  

Why Join Us?  

Cutting-Edge Technology : Work with the latest AI/ML infrastructure, modern backend frameworks, and emerging cloud-native technologies  

Enterprise Scale : Build systems serving users globally with real business impact  

Innovation Culture : Research-driven environment encouraging experimentation and rapid prototyping  

Technical Excellence : Collaborate with world-class engineers and AI researchers  

Career Growth : SVP-level technical leadership role with visibility to senior leadership  

Meaningful Work : Build backend systems powering AI transformation across a global financial institution  

Work Environment  

We embrace a hybrid work model with a mix of in-office and remote work. We value innovation, technical excellence, and operational discipline. We operate with agile methodologies adapted to our specific needs, with two-week sprints, regular releases, and continuous improvement cycles.  

Education  

Bachelor's degree in Computer Science , Software Engineering, or related technical field, or equivalent practical experience  

Technical Environment  

Backend : Go microservices with clean architecture patterns  

Frontend : React 19+ with TypeScript, modern state management ( Zustand ),   TanStack   Query  

Infrastructure : OpenShift/Kubernetes with Helm deployments, Istio service mesh  

Data Storage : MongoDB, Redis, S3-compatible object storage  

APIs : REST,   gRPC ,   WebSockets , Server-Sent Events  

AI/ML : Integration with multiple LLM providers (Claude, Gemini, proprietary models), vector search, prompt engineering  

Security : OAuth/JWT, Vault, document classification  

Testing : Comprehensive testing strategies (unit, integration, E2E)  

Build Tools : Modern CI/CD pipelines,   GitOps   workflows  

Observability : Metrics, traces, logs, monitoring and alerting  

Performance : High-throughput, low-latency distributed systems optimization  

Ready to Apply?  

If you're passionate about building scalable, intelligent backend systems at the intersection of AI and modern cloud-native   development, and   want to shape the future of enterprise AI platforms at global scale, we'd love to hear from you.  

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Job Family Group: Technology

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Job Family: Applications Development

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Time Type: Full time

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Most Relevant Skills Please see the requirements listed above.

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Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.

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