Global Red Team Senior AI Engineer, Vice President

About this role

Do you want your voice heard and your actions to count?

Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world’s leading financial groups. Across the globe, we’re 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.

With a vision to be the world’s most trusted financial group, it’s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.

Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.

The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details.

The Vice President, Global Red Team & AI Security Operations leads enterprise-wide red team and AI adversarial testing programs to emulate real-world threat actors and strengthen organizational resilience. This role oversees advanced attack execution, AI red teaming, and operator capability development, translating findings into measurable risk reduction in partnership with defensive, engineering, and governance teams.

Key Responsibilities Program & Strategy Leadership • Contribute to global Red Team and AI Red Team strategy, execution model, and operating standards. • Lead advanced attack simulations across traditional, cloud, and AI‑enabled environments. • Ensure red team activities align with enterprise risk, regulatory expectations, and control‑validation objectives. • Define multi-year technical capability roadmaps for red team operations, including cloud exploitation, identity attack paths, adversary simulation validation, AI security testing, and scalable tooling automation.

Advanced Red Team Operations • Lead and oversee complex red team engagements across network, endpoint, application, cloud, and physical attack surfaces. • Direct execution of advanced attack techniques including lateral movement, persistence, and control evasion. • Lead development and use of custom exploits, tooling, and methodologies to emulate real adversaries. • Provide hands-on technical leadership during complex engagements, including attack planning, exploit validation, payload development, command-and-control operations, and post-exploitation decision making.

AI Red Teaming & Emerging Technology Risk • Lead adversarial testing of AI and LLM systems (e.g., prompt injection, tool misuse, data leakage, and guardrail bypass). • Assess emerging technologies and platforms for exploitable weaknesses before and during enterprise adoption. • Integrate AI red team findings into enterprise risk, validation, remediation, and re-test workflows. • Evaluate AI-assisted developer tools (e.g., copilots) and automation platforms for security impact. • Assess how AI systems interact with identity, permissions, APIs, and enterprise data sources. • Frontier and local LLM use to augment red team capabilities and tools. • Design and execute AI-specific test cases for prompt injection, indirect prompt injection, model manipulation, jailbreak resistance, retrieval-augmented generation exposure, agentic workflow abuse, model supply chain risk, and sensitive data exfiltration. • Assess AI platforms across the full lifecycle, including model selection, training and fine-tuning data, system prompts, tool permissions, plugin integrations, API exposure, logging, monitoring, and human-in-the-loop controls. • Evaluate AI-assisted offensive and defensive tooling for operational value, misuse potential, data handling risk, and alignment with enterprise security governance.

Threat Tradecraft & Capability Development • Drive research into real‑world threat actor TTPs and emerging AI‑enabled attack techniques. • Sponsor development of red team tools, scripts, and repeatable methodologies to increase realism, scale, and efficiency. • Establish standards for tooling governance, safe use, and audit readiness. • Build and maintain secure development practices for internal red team tools, including code review, dependency management, secrets handling, operational security controls, and responsible use of AI-generated code.

Leadership, Mentorship & Reporting • Assist in developing senior and junior red team operators globally. • Contribute to executive‑level reporting of attack outcomes, business impact, and remediation validation. • Partner with stakeholders to ensure findings lead to sustained control improvements.

Qualifications Experience • 7+ years of experience in red team and offensive security, including leading advanced attack simulations. • Demonstrated 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. • Proven ability to translate highly technical attack results into executive-level risk narratives, control validation outcomes, and prioritized remediation actions.

Technical Expertise • Deep knowledge of application security vulnerabilities, exploitation techniques, and web/API workflows. • Experience developing or modifying offensive tooling (e.g., implants, loaders) 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

Similar jobs

• Senior Security Engineer - AI, Vice President — MUFG · Jersey City, NJ | Tampa, FL
• GenAI Tech Lead- Senior Vice President — Citi · Tampa Florida United States | Irving Texas United States
• Principal AI Engineer - Vice President — Morgan Stanley · New York, New York, United States
• Gen AI Software Engineer - Vice President — Citi · Jacksonville Florida United States | Tampa Florida United States
• VP Senior Software Engineer / AI Engineer — MUFG · Jersey City, NJ
• Senior Team Leader, AI Engineering — Truebill · San Francisco, CA, Washington, D.C., New York City, NY, Remote (USA)
• Senior Director, AI — Agilityrobotics · Remote
• Principal AI App Dev Engineer - Vice President — Morgan Stanley · Alpharetta, Georgia, United States