Adversarial AI Defense Specialist

Vanguard

. Build and lead a defensive program focused on countering autonomous systems and adversarial AI .

Posted 10/28/2026full-timeUnited StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and leading defensive programs against AI-driven attacks, with a strong focus on reverse engineering, incident response, and automation. Proficient in developing detection capabilities and applying intelligence across various security domains.

Highest-signal resume keywords

Malware Reverse EngineeringIncident ResponsePython ProficiencyDetection Capability DevelopmentMITRE ATT&CK Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Reverse EngineeringMalware AnalysisAutomation ToolingThreat HuntingForensic ReconstructionAI-Assisted AnalysisDeception Infrastructure DesignAdversary EmulationMachine-Speed Detection WorkflowsStatic and Dynamic Analysis

Soft Skills

MentoringCollaborationCommunication

Tools & Technologies

AI/ML EngineeringCloud SecurityIncident Response ToolsDeception TechnologiesAutomation Pipelines

Certifications & Qualifications

GREMGCFAOSCP

Industry Keywords

NIST AI RMFATLASOWASP LLM Top 10Adversarial AIRed Teaming

Tech Stack

Tools & technologies

CloudPython.NET

About the role

Key responsibilities & impact

Build and lead a defensive program focused on countering autonomous systems and adversarial AI
Define the program charter, operating model, and technical roadmap
Mentor analysts and engineers across reverse engineering and AI-assisted analysis
Identify, test, validate, and measure detective, preventive, compensating, and deceptive controls against AI-driven attacks
Design, run, seed, tune, and maintain deception, canary, and lab infrastructure
Recover, triage, and deconstruct malicious binaries, scripts, and payloads through static and dynamic reverse engineering
Build AI-assisted pipelines for automated triage and intelligence extraction
Apply intelligence across detection engineering, threat hunting, incident response, and threat intelligence
Develop automated detection and response workflows for machine-speed attacks
Map and predict autonomous attack paths to prioritize defensive investment
Lead AI-enabled breach investigations, forensic reconstruction, root cause analysis, and timeline development
Collaborate with red team, cloud security, AI/ML engineering, IAM, and enterprise architecture teams
Define KPIs and brief senior leadership and risk committees
Map program outcomes to NIST AI RMF, MITRE ATT&CK and ATLAS, OWASP LLM Top 10, and evolving AI governance and regulatory requirements

Requirements

What you’ll need

Minimum of five years related work experience
Three years of experience in red teaming, adversary emulation, or penetration testing
Undergraduate degree in a related field or the equivalent combination of training and experience
Deep malware reverse engineering expertise (x86/x64, .NET, scripting)
Hands-on incident response and forensic reconstruction experience
Proficiency in Python and automation tooling
Working knowledge of LLM/agentic architectures and their attack surfaces
Experience building detection or deception capabilities from scratch
Prior threat research or nation-state adversary tracking experience preferred
Familiarity with MITRE ATT&CK and ATLAS preferred
Experience applying ML to security analytics preferred
Published research or conference presentations preferred
GREM, GCFA, OSCP, or equivalent preferred
No visa sponsorship is offered for this position

Benefits

Comp & perks

Comprehensive health and wellness care
Work-life balance
Investment in your future
Hybrid working model with Monday and Friday remote work
In-person learning, collaboration, and connection