Artificial Intelligence Offensive Security Analyst

Citi

Confirmed live yesterday High trust
Closes in 6 days Hybrid

Quick summary

Work type
Hybrid
Location
Tampa, FLJacksonville, FLIrving, TXNew York, NYJersey City, NJ
Salary
$87,280–$212,160 / yr
Employment
Full-time
Posted
25 days ago
Freshness
Confirmed live yesterday
Closes
Oct 10, 2026 (soon)

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $157k
This role $150k
$72k most similar roles pay here $227k

This role pays less than 60% of similar roles. Most pay $126,800–$187,787 — the shaded band above. At the midpoint, this role pays about $150k versus about $157k for comparable roles.

Based on 240 similar postings.

Employer

About Citi

Citi is one of the world’s most trusted financial institutions, proudly serving millions of customers across the United States.

Citi currently has 272 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 256 roles with salary data.

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At a glance

TL;DR · Artificial Intelligence Offensive Security Analyst

The Artificial Intelligence (AI) Offensive Security Analyst joins the Offensive Security and Vulnerability Management team to conduct security assessments against AI systems while utilizing AI-powered tools to enhance testing efficiency. This operational role involves performing penetration tests, vulnerability assessments, and Red Team adversarial evaluations across a diverse application portfolio. The candidate will build tools from scratch, design test cases for prompt injection, retrieval poisoning, and tool misuse, and develop containment architectures for agentic AI. Key technical requirements include proficiency with Burp Suite, nuclei, nmap, and the OWASP Top 10 or MITRE ATLAS frameworks. Candidates must demonstrate AI literacy regarding LLMs, RAG, and agentic chaining, alongside experience with tools like Garak or PyRIT. The role addresses the critical challenge of securing large-scale AI deployments and managing automated vulnerability discovery in a complex financial environment.

What you'll do

  • Perform penetration tests and vulnerability assessments against web applications, APIs, and mobile platforms.
  • Conduct red team adversarial evaluations to identify security gaps in the firm's application portfolio.
  • Test AI systems for specific attack vectors like prompt injection, retrieval poisoning, and sensitive data extraction.
  • Utilize AI-powered tools to automate reconnaissance, accelerate testing, and validate common vulnerability classes.
  • Develop and implement containment architectures and runtime controls for agentic AI and large language models.
  • Design and execute test cases for LLM-backed products that go beyond standard web application methodologies.
  • Build automated pipelines to triage, verify, and remediate high volumes of findings generated by AI tools.
  • Collaborate with development teams to integrate security assessments into the early stages of the build process.

What we're looking for

  • Bachelor's degree in Computer Science, Information Security, Engineering, or equivalent practical experience.
  • Master's degree (preferred).
  • Practical experience running penetration tests or vulnerability assessments against web applications, APIs, or mobile applications.
  • Experience performing Red Team adversary simulations as an operator.
  • Familiarity with security testing tools such as Burp Suite, nuclei, nmap, or similar.
  • Working knowledge of OWASP Top 10 and exposure to OWASP LLM Top 10 or MITRE ATLAS.
  • Hands-on experience using LLM tools for security testing, research, or personal workflows.
  • Familiarity with AI testing tools or frameworks like Garak, PyRIT, PromptBench, or Inspect AI (preferred).

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