Global Red Team Senior AI Engineer, Vice President

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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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 platforms.
• Hands-on scripting or software engineering experience in languages such as Python, PowerShell, C#, Go, or JavaScript to support exploit development, automation, data analysis, and AI-enabled security workflows.
• Working knowledge of AI security concepts, including OWASP Top 10 for LLM Applications, MITRE ATLAS, model evaluation methods, prompt engineering, adversarial testing, and responsible AI controls.

• Bachelor’s degree in Computer Science or related field, or equivalent experience.
• Advanced security certifications such as CISSP, GIAC, OSCP/OSCE, GWAPT, CISM, CRISC, CRTO, or similar.
• Familiarity with regulatory and compliance frameworks (e.g., NIST, FFIEC, GLBA, SOX, PCI).

The typical base pay range for this role is as follows:

• New York / New Jersey: $141–$180


• Non–New York / New Jersey: $141–$194

Our hybrid work schedule is four days on-site and work remotely one day per week.

[MUFG Benefits Summary](

We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws (including (i) the San Francisco Fair Chance Ordinance, (ii) the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, (iii) the Los Angeles County Fair Chance Ordinance, and (iv) the California Fair Chance Act) to the extent that (a) an applicant is not subject to a statutory disqualification pursuant to Section 3(a)(39) of the Securities and Exchange Act of 1934 or Section 8a(2) or 8a(3) of the Commodity Exchange Act, and (b) they do not conflict with the background screening requirements of the Financial Industry Regulatory Authority (FINRA) and the National Futures Association (NFA). The major responsibilities listed above are the material job duties of this role for which the Company reasonably believes that criminal history may have a direct, adverse and negative relationship potentially resulting in the withdrawal of conditional offer of employment, if any.

The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities duties and skills required of personnel so classified.

We are proud to be an Equal Opportunity Employer and committed to leveraging the diverse backgrounds, perspectives and experience of our workforce to create opportunities for our colleagues and our business. We do not discriminate on the basis of race, color, national origin, religion, gender expression, gender identity, sex, age, ancestry, marital status, protected veteran and military status, disability, medical condition, sexual orientation, genetic information, or any other status of an individual or that individual’s associates or relatives that is protected under applicable federal, state, or local law.