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Adversarial AI Offensive Security Analyst
Vanguard Group, Inc.
- United States
- United States
Über
Adversarial AI Offensive Security Analyst, Senior
Specialst
is a senior individual contributor role on the Offensive Security & Fraud Testing (OSFT) team. The mission of this role is to
harness AI and automation as force multipliers for red teaming and penetration testing at scale , emulating advanced adversaries from reconnaissance through exploitation. Unlike roles focused on testing AI systems, this position uses AI
to enhance offensive security operations , enabling broader, faster, and more sophisticated attack simulations that challenge our defenses and fraud controls.
ERO is seeking an experienced Offensive Security professional to lead cutting-edge
AI-augmented red team engagements . As an Adversarial AI Offensive Security Analyst, you will blend traditional penetration testing expertise with
innovative use of AI/LLMs and automation . You'll develop and utilize custom tools (including integrating
Model Context Protocol (MCP)
or similar AI-agent frameworks) to amplify offensive operations. Your work directly strengthens our security by simulating
AI-powered threat actors
at scale and driving improvements across cyber defenses and fraud detection.
Key Responsibilities:
Plan & Execute AI-Enhanced Attacks:
Lead red team operations and penetration tests that incorporate
LLM-driven techniques
and
agentic automation
to simulate sophisticated adversaries at scale. Maintain human-in-the-loop oversight to ensure safe, controlled execution. [ Custom Tooling & Automation:
Design or integrate
custom offensive tools and scripts
that use AI/ML (e.g. LLM APIs, automation frameworks) to accelerate vulnerability discovery, exploit development, and testing workflows. For example, develop internal frameworks that interface LLMs with red team C2 platforms (like
MythicMCP ,
SliverMCP ) to enable autonomous or semi-autonomous operations. Adversarial Simulation & Fraud Testing:
Conduct adversarial exercises targeting both technical systems and fraud controls, using AI to emulate how attackers might abuse scale and automation. Work with fraud risk teams to simulate large-scale abuse scenarios (bots, deepfakes, automated scams) using AI capabilities. Collaboration & Purple Teaming:
Partner closely with blue teams (SOC, Detection Engineering) and fraud prevention teams to share insights from AI-augmented tests. Help validate and improve detection and response for
AI-driven attack techniques
through joint purple team exercises. Reporting & Knowledge Sharing:
Document attack scenarios, findings, and mitigations in clear reports. Present results and risk insights to both technical staff and executives, translating complex AI-augmented attack methods into actionable defense improvements.
Mentor
colleagues in adopting AI-assisted tools and foster a culture of innovation in the team. Required Qualifications:
Offensive Security Expertise:
5-7+ years of hands-on experience in
penetration testing, red teaming, or adversary simulation
with a strong track record. Deep understanding of network/web application security, exploitation techniques, and attacker TTPs (MITRE ATT&CK). AI & Automation Skills:
Proven experience leveraging
AI/ML or automation in cybersecurity
(e.g. using LLM APIs, scripting against AI services, building security chatbots or automation pipelines). Ability to craft effective prompts and interpret LLM outputs.
Familiarity with integrating AI into tools or workflows
(experience with frameworks like Model Context Protocol (MCP) servers is a strong plus). Programming & Tool Development:
Proficiency in
Python
or similar languages for developing custom tools, automation scripts, and integrating APIs. Experience building or extending offensive toolsets (C2 frameworks, scanners, exploit scripts) to adapt to new needs. Security Certifications & Education:
Bachelor's degree in computer science, engineering, or equivalent experience. Industry certifications such as
OSCP , CRTE or similar are preferred, demonstrating advanced offensive skills. Innovative & Collaborative Mindset:
Demonstrated creative problem-solving ability and adaptability. Eagerness to continuously research emerging
AI-enabled attack techniques
and proactively share knowledge. Strong collaboration skills to work with cross-functional teams and communicate complex concepts clearly. Preferred Qualifications:
Experience with
AI agent frameworks or autonomous red teaming tools
(e.g. experimenting with LLM agents for recon/exploitation). Knowledge of
adversarial machine learning
concepts or AI model vulnerabilities (prompt injection, data poisoning) - not the focus of this role, but indicative of a broad security mindset. Prior experience in
fraud testing/abuse simulations
or
social engineering
engagements, especially using deepfakes or automated bots. DevOps/cloud knowledge (CI/CD pipelines, AWS/Azure) and how AI can target cloud or supply chain environments.
Special Factors
Sponsorship Vanguard is not offering visa sponsorship for this position.
About Vanguard
At Vanguard, we don't just have a mission-we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.
Sprachkenntnisse
- English
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