Global Red Team Senior AI Engineer, Vice President

MUFG

. Lead enterprise-wide red team and AI adversarial testing programs .

Posted 11/12/2026full-timeUnited StatesSenior💰 $141,000 - $180,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading red team operations and AI adversarial testing, with a strong focus on advanced attack simulations and cloud exploitation. Proficient in translating technical findings into executive-level narratives and driving improvements in security controls.

Highest-signal resume keywords

Red Team LeadershipAI Adversarial TestingAdvanced Attack SimulationsOffensive Security Tool DevelopmentCloud Exploitation Techniques

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonPowerShellC#GoJavaScriptApplication Security VulnerabilitiesExploitation TechniquesLateral Movement TechniquesCloud Attack PathsAdversarial Testing

Soft Skills

Executive CommunicationStakeholder CollaborationMentoring

Tools & Technologies

C2 FrameworksOWASP Top 10MITRE ATLASAI Security ToolsModel Evaluation Methods

Certifications & Qualifications

CISSPGIACOSCPOSCEGWAPTCISMCRISCCRTO

Industry Keywords

NISTFFIECGLBASOXPCIIdentity Attack PathsModel Access ControlsData LeakagePrompt EngineeringRisk Narratives

Tech Stack

Tools & technologies

CloudJavaScriptLinuxPythonGo

About the role

Key responsibilities & impact

Lead enterprise-wide red team and AI adversarial testing programs
Contribute to global Red Team and AI Red Team strategy, execution models, and operating standards
Lead advanced attack simulations across traditional, cloud, and AI-enabled environments
Define multi-year technical capability roadmaps covering cloud exploitation, identity attack paths, adversary simulation validation, AI security testing, and tooling automation
Lead complex red team engagements across network, endpoint, application, cloud, and physical attack surfaces
Direct lateral movement, persistence, control evasion, exploit validation, payload development, command-and-control, and post-exploitation activities
Lead adversarial testing of AI and LLM systems, including prompt injection, tool misuse, data leakage, guardrail bypass, jailbreak resistance, RAG exposure, agentic workflow abuse, model supply chain risk, and sensitive data exfiltration
Assess AI platforms across model selection, training data, system prompts, tool permissions, plugins, APIs, logging, monitoring, and human-in-the-loop controls
Research real-world threat actor TTPs and emerging AI-enabled attack techniques
Sponsor development of red team tools, scripts, and repeatable methodologies
Establish tooling governance, safe-use, audit-readiness, and secure development standards
Develop senior and junior red team operators globally
Contribute to executive reporting on attack outcomes, business impact, and remediation validation
Partner with stakeholders to drive sustained control improvements

Requirements

What you’ll need

7+ years of experience in red team and offensive security, including leading advanced attack simulations
Experience planning and executing attacks that evade network, endpoint, application, and cloud controls
Hands-on experience with AI red teaming, adversarial testing, and LLM security assessments
Experience assessing AI-enabled applications, LLM agents, retrieval-augmented generation systems, model access controls, tool/plugin permissions, and enterprise data connectors
Ability to translate technical attack results into executive-level risk narratives, control validation outcomes, and prioritized remediation actions
Deep knowledge of application security vulnerabilities, exploitation techniques, and web/API workflows
Experience developing or modifying offensive tooling and operating modern C2 frameworks
Strong operational knowledge of Windows and Linux, including persistence and lateral movement techniques
Advanced understanding of cloud and identity attack paths, including Microsoft Entra ID, Active Directory, privilege escalation, federation, service principals, conditional access weaknesses, and attack path analysis platforms
Hands-on scripting or software engineering experience with Python, PowerShell, C#, Go, or JavaScript
Working knowledge of OWASP Top 10 for LLM Applications, MITRE ATLAS, model evaluation methods, prompt engineering, adversarial testing, and responsible AI controls
Visa sponsorship/support is based on business needs; sponsorship is not anticipated for this position
Bachelor's degree in Computer Science or related field, or equivalent experience (preferred)
Advanced security certifications such as CISSP, GIAC, OSCP/OSCE, GWAPT, CISM, CRISC, or CRTO (preferred)
Familiarity with NIST, FFIEC, GLBA, SOX, and PCI frameworks (preferred)

Benefits

Comp & perks

Discretionary performance-based bonus and/or incentive compensation
Comprehensive health and wellness benefits
Retirement plans
Educational assistance and training programs
Income replacement for qualified employees with disabilities
Paid maternity and parental bonding leave
Paid vacation, sick days, and holidays
Hybrid work schedule: four days on-site and one day remote per week