Senior AI Security Engineer

Engineer the future of global finance. At Citi, our Tech team doesn’t just support finance – we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech.

The Senior AI Security Engineer is a technical leader and engineering manager within CISO's AI security incubation function, enabling teams to move from ideation to working proof-of-concept and through to production-ready use cases. This role combines hands-on technical contribution with people management — owning the Incubator Environment that accelerates how cybersecurity teams discover, prototype, and validate AI-powered solutions, while leading and developing the engineering team that makes it happen.

This is a hands-on leadership role. The Senior AI Security Engineer architects agentic solutions, writes and reviews code, manages and develops engineers, and enables CISO teams to rapidly prove out new AI use cases. The team is building increasingly autonomous AI agents that perform complex cybersecurity tasks — from automated threat analysis and security control validation to intelligent triage and response orchestration. The successful candidate will drive this shift from prompt-based workflows to fully agentic AI systems, and will leverage AI development tools (Devin, GitHub Copilot, Claude Code) to achieve significant engineering productivity gains.

Key Responsibilities:

Agentic AI Engineering & Use Case Incubation (40%)

• Own and evolve the Incubator Environment — the platform and tooling that enables CISO teams to move from idea to working PoC to validated use case
• Partner with cybersecurity domain teams to understand their challenges, identify high-value AI use cases, and rapidly prototype agentic solutions
• Design, build, and deploy agentic AI systems that autonomously perform cybersecurity tasks — including threat analysis, security control validation, intelligent triage, and response orchestration
• Architect multi-agent orchestration systems, defining how AI agents collaborate, delegate, and escalate across security workflows
• Implement robust agent infrastructure: tool use frameworks, memory and context management, planning/execution loops, guardrails, and human-in-the-loop controls
• Build and maintain RAG pipelines, knowledge retrieval systems, and dynamic context assembly that underpin agent decision-making
• Shepherd validated use cases through to production readiness and handoff to the dedicated product support team
• Drive adoption and effective use of AI development tooling (Devin, GitHub Copilot, Claude Code) to maximize team velocity
• Make key technical decisions on architecture, technology selection, and build-vs-integrate trade-offs

Incubator Platform & Technical Architecture (25%)

• Design and maintain the Incubator Environment architecture — a scalable, secure platform that enables rapid prototyping and validation of agentic AI use cases
• Build reusable components, templates, and patterns that lower the barrier for new use case development across CISO domains
• Define integration patterns between AI agents and existing CISO systems (SOC platforms, vulnerability management, threat intelligence tools, SOAR)
• Establish observability, monitoring, and evaluation frameworks for agentic systems — including agent trace logging, decision auditing, and performance benchmarking
• Design safety and containment architectures for autonomous agents: sandboxing, permission boundaries, output validation, and escalation triggers
• Set engineering standards, define development practices, and establish quality gates that ensure PoCs are built to a standard that supports production handoff

People Leadership & Team Development (20%)

• Lead, develop, and manage a team of engineers, including performance management, objective setting, and career development
• Lead hiring and technical evaluation for new team members
• Build a high-performing engineering culture that balances speed with quality
• Mentor and coach engineers on agentic AI technologies, secure development practices, and engineering excellence
• Provide technical guidance through code reviews, architecture decisions, and pair programming on complex features
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