Artificial Intelligence (AI) Offensive Security Analyst

Citi • Jersey City, NJ

7d • $87,280 - $212,160 • Onsite

About The Position

Citi's Offensive Security and Vulnerability Management (OSVM) team is hiring practitioners who can run security assessments against AI systems and use AI-powered tools to make security testing faster and more effective. The AI Offensive Security Analyst is an operational role on a team that runs penetration tests, vulnerability assessments, and Red Team adversarial evaluations across Citi's application portfolio. The AI dimension is twofold: you'll test AI systems as a target, and you'll use AI tools as part of how you work. We're looking for someone to help build the tools from scratch and who knows how to get the most out of them, knows their limits, and can operate in an environment where the right approach isn't always obvious yet.

The problems we're solving don't have playbooks yet.
AI-driven vulnerability management. When frontier models can generate thousands of findings in a weekend, the bottleneck shifts from discovery to triage, verification, and remediation. We're building the pipeline that makes this sustainable.
Security architecture for the AI era. Defining how a global bank deploys, monitors, and governs agentic AI — from standards and evaluation frameworks to production runtime monitoring.
AI at scale, not in a lab. Citi has deployed AI tools to 180,000+ employees, equipped 30,000 developers with AI coding assistants, and is rolling out agentic AI capabilities firm wide. Securing that footprint and the platforms that underpin them is the job.
Securing AI agents that can behave like insider threats. Frontier models can harvest credentials, escape sandboxes, and adapt when they detect monitoring. We're designing the containment architectures and runtime controls to operate them safely at enterprise scale.
Real security engineering. This isn't a cyber seat where you'll spend your time in administration . You will be expected to understand the code, the architecture, the threats, and find solutions. You'll have the mandate and the backing to build something meaningful.
​Cyber Security Operations — Detection, triage, and response for a world where adversaries use AI to find and exploit vulnerabilities faster than traditional detection can keep up. Behavioral analytics for AI agents. Playbooks for AI-originated attack scenarios.

Requirements

• Practical experience running penetration tests or vulnerability assessments against web applications, APIs, or mobile applications. Alternatively, Red Team experience running adversary simulations as an operator
• Familiarity with common security testing tools: Burp Suite, nuclei, nmap, or similar
• Working knowledge of OWASP Top 10 and at least some exposure to OWASP LLM Top 10 or MITRE ATLAS
• Ability to triage findings and communicate risk clearly to technical and non-technical audience
• Hands-on experience using LLM tools in a meaningful way, whether for security testing, security research, or your own workflows
• Enough understanding of how LLMs work (context windows, tool use, RAG, agentic chaining) to reason about where they can go wrong
• Comfortable working on problems that don't have a playbook yet
• Can write clearly: test plans, findings reports, risk summaries
• Curious about the security implications of AI systems, not just the hype around them
• Bachelor's degree in Computer Science, Information Security, Engineering, or equivalent practical experience.

Nice To Haves

• Familiarity with AI testing tools or frameworks, even from personal research or experimentation, is a real plus: Garak, PyRIT, PromptBench, Inspect AI, or equivalent
• Master’s degree preferred

Responsibilities

• Testing AI applications and agents. GenAI applications, agentic systems, and LLM-backed products require testing that goes beyond standard web app methodology. Prompt injection, indirect injection, retrieval poisoning, tool misuse, sensitive data extraction, unsafe delegation, these are real attack classes with real business impact. You'll design and execute test cases for them.
• Using AI to work better. AI-assisted testing changes what's possible in a pen testing engagement: broader coverage, faster reconnaissance, automated validation of common vulnerability classes. You'll be expected to know how to use these capabilities effectively and to help the broader team adopt what works.
• Embedding security into development. Working with development teams and security engineers to make sure AI application assessments happen at the right points in the build process.

Benefits

• medical, dental & vision coverage
• 401(k)
• life, accident, and disability insurance
• wellness programs
• paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level