Global Red Team AI Engineer, Analyst

United States·Jersey Citymid

Machine Learning EngineerData

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Quick Summary

Key Responsibilities

Adversary Emulation & Testing Support Participate in Red Team missions designed to simulate real‑world attacker behavior against MUFG applications and platforms.

Requirements Summary

prompt injection and misuse scenarios unintended data access or disclosure via AI tools bypass of AI guardrails and safety controls Assist in assessing AI‑assisted developer tools, copilots,

Technical Tools

Machine Learning EngineerData

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 Red Team Analyst supports MUFG Red Team operations by executing adversary‑emulation activities focused on AI‑enabled technologies. This role is designed for early‑career professionals with a computer science background and practical coding experience, enabling them to develop offensive security skills while contributing to risk reduction across the enterprise.

Under the direction of senior operators, the analyst participates in threat‑led assessments, AI security testing, and purple team exercises, helping identify how real‑world adversaries could exploit application logic, automation pipelines, and AI‑assisted capabilities.

Responsibilities

~1 min read

Adversary Emulation & Testing Support

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Participate in Red Team missions designed to simulate real‑world attacker behavior against MUFG applications and platforms.
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Execute assigned activities during:
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  adversary simulation and emulation (ASE)
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  assumed‑breach scenarios
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  purple team and control‑validation exercises
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Safely conduct testing activities aligned to approved scopes, deconfliction requirements, and operational guardrails.

AI & Automation Workflow Testing

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Support adversarial testing of AI‑enabled capabilities, including:
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  prompt injection and misuse scenarios
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  unintended data access or disclosure via AI tools
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  bypass of AI guardrails and safety controls
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Assist in assessing AI‑assisted developer tools, copilots, and automation platforms.
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Help evaluate how AI interacts with identity, permissions, APIs, and data sources.

Tooling & Research

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Research emerging attacker techniques targeting:
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  modern application stacks
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  CI/CD and developer tooling
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  AI/LLM systems
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Contribute to Red Team playbooks, test cases, and repeatable workflows.
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Support senior operators in engagement reporting and evidence collection.
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Participate in post‑engagement discussions with defensive and engineering teams.
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Develop and operationalize custom ML/LLM models for cybersecurity use cases
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Advance preventative, detective, and responsive security controls through applied AI innovation
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Evaluate emerging AI capabilities for cybersecurity and mature predictive, proactive threat response

Requirements

~1 min read

Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or equivalent practical experience.
Demonstrated experience through internships, co‑ops, academic projects, or personal work.
Strong analytical skills, attention to detail, and willingness to learn adversarial thinking.
Hands-on experience with agentic AI, LLMs, and custom ML model development
Proficiency with open-source AI frameworks and tooling (e.g., PyTorch, TensorFlow, SageMaker)

Familiarity with:
- REST APIs, OAuth/OIDC, JWT
- CI/CD pipelines or DevOps tooling
Hands‑on experience using or experimenting with AI/LLM tools or prompt‑driven workflows.
Familiarity with enterprise cloud AI platforms (e.g., Azure AI Foundry, AWS Bedrock, or GCP Vertex AI)

As per MUFG’s work policy for all personnel, candidates must work onsite for 4 days and 1 day remotely.
The typical base pay range for this role is between $80K - $100K depending on job-related knowledge, skills, experience, and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes 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, and paid vacation, sick days, and holidays. For more information on our Total Rewards package, please click the link below.

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.

Location & Eligibility

Where is the job

Jersey City, United States

On-site at the office

Who can apply

About this job

Pay per year: $80,000–$100,000 a year; 57% below the $208,575 median for Machine Learning Engineer jobs on Jobera (1,021 salaries).
Who can apply: United States
Posted: 8 days ago
Employer: has 1,104 open jobs on Jobera in 14 countries.