Software Engineering Lead - GenAI Platforms

The Team & Culture

We are a research-driven startup operating within the enterprise. Our mission? Building the bank's next-generation GenAI platforms—Citi Stylus Workspaces and mission-critical AI infrastructure serving Citi employees globally. We move with startup velocity while maintaining enterprise-grade security, compliance, and reliability. We build at the frontier of AI, architecting scalable systems where cutting-edge models meet cloud-native excellence.

The Role

We are looking for a Software Engineering Lead who architects, codes, and leads. This is a senior technical leadership role (SVP) for someone who wants to drive the backend vision and full-stack execution of enterprise GenAI platforms. You will design high-performance AI systems at the intersection of modern cloud-native development and cutting-edge AI—combining hands-on engineering mastery with strategic technical leadership. You'll work with Claude, Gemini, and proprietary models on OpenShift/Kubernetes, building microservices that transform how employees interact with AI.

What You'll Do

• Architect at Scale: Design and build core GenAI platform components serving 180,000+ users with exceptional performance, reliability, and security across distributed systems.

• Engineer Full-Stack Excellence: Implement complex features across the entire stack—from Go microservices and document pipelines to React interfaces and real-time streaming architectures.

• Lead AI/ML Innovation: Build production-grade LLM applications, architect vector databases, implement agentic capabilities, and optimize AI inference for performance and cost efficiency.

• Own DevOps & Production: Design observability solutions, lead incident response and blameless postmortems, build CI/CD pipelines, and ensure production excellence through comprehensive monitoring and alerting.

• Master Cloud Infrastructure: Architect Kubernetes/OpenShift deployments, implement service mesh (Istio), drive infrastructure-as-code and GitOps workflows, and ensure security best practices at every layer.

• Drive Technical Vision: Set architectural direction across services and teams, mentor engineering talent, lead cross-functional collaboration with product and AI researchers, and represent engineering in leadership forums.

Who You Are

• A Technical Architect: Expert-level Go programmer (5+ years) with deep concurrency knowledge, proficient in TypeScript/React (3+ years), and fluent in microservices architecture, clean code principles, and distributed systems design.

• A Cloud-Native Expert: Deep understanding of Kubernetes/OpenShift, service mesh implementations, containerization at scale, and infrastructure-as-code with proven experience in high-throughput, low-latency systems.

• A Production Leader: 15+ years software development experience with 5+ years in technical leadership, 5+ years with cloud-native architectures, and 3+ years with AI/ML systems in production—delivering enterprise-scale systems (10,000+ users) successfully.

• An AI/ML Engineer: Practical experience implementing production LLM applications, prompt engineering, vector databases, streaming architectures, RAG patterns, and multi-agent orchestration.

• A Strategic Influencer: Exceptional communicator who translates complex technical concepts into business value, partners with engineering, security, and business leaders, and drives engineering excellence through mentorship and best practices.

• Mission-Driven: Passionate about AI-powered systems, hands-on when needed, comfortable with ambiguity, pragmatic under constraints, and relentlessly focused on quality and innovation.

Why Join Us?

This is your opportunity to architect the future of enterprise AI at global scale. You'll work with cutting-edge AI infrastructure, collaborate with world-class engineers and researchers, and build systems with real business impact across a global financial institution. SVP-level technical leadership with startup autonomy, enterprise resources, and the challenge of bringing frontier GenAI capabilities safely, securely, and at scale. If you're ready to define what's possible, we want you on our team.

Education: Bachelor's degree in computer science, Software Engineering, or related technical field, or equivalent practical experience.

Technical Stack: Go microservices, React 19+/TypeScript, OpenShift/Kubernetes, MongoDB/Redis/S3, REST/gRPC/WebSockets, Claude/Gemini/proprietary LLMs, OAuth/JWT/Vault, GitOps CI/CD, Prometheus/Grafana/ELK.

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