Global Red Team AI Engineer, Analyst

MUFG • Jersey City, NJ

5d • $80,000 - $100,000 • Hybrid

About The Position

The Red Team Analyst supports MUFG Red Team operations by carrying out adversary-emulation activities focused on AI-enabled technologies. Designed for early-career professionals with a computer science background and practical coding experience, the role develops offensive security skills while helping reduce enterprise risk. Under the direction of senior operators, the analyst participates in threat-led assessments, AI security testing, and purple team exercises to identify ways real-world adversaries could exploit application logic, automation pipelines, and AI-assisted capabilities.

The position includes adversary simulation and emulation, assumed-breach scenarios, purple team and control-validation exercises, and safe testing within approved scopes and operational guardrails. The analyst also supports adversarial testing of AI systems and workflows, researches emerging attacker techniques, contributes to Red Team playbooks and repeatable workflows, and assists with reporting and evidence collection. Additional work includes developing and operationalizing custom ML/LLM models for cybersecurity, advancing security controls through applied AI, and evaluating emerging AI capabilities for proactive threat response.

The role works at an MUFG office or client site four days per week and remotely one day per week.

Requirements

• 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, such as PyTorch, TensorFlow, or SageMaker.

Nice To Haves

• Familiarity with REST APIs, OAuth/OIDC, and JWT.
• Familiarity with 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 such as Azure AI Foundry, AWS Bedrock, or GCP Vertex AI.

Responsibilities

• Participate in Red Team missions simulating real-world attacker behavior against MUFG applications and platforms.
• Execute assigned activities during adversary simulation and emulation, assumed-breach scenarios, and purple team and control-validation exercises.
• Conduct testing safely within approved scopes, deconfliction requirements, and operational guardrails.
• Support adversarial testing of AI-enabled capabilities, including prompt injection and misuse, unintended data access or disclosure, and bypass of AI guardrails and safety controls.
• Assist in assessing AI-assisted developer tools, copilots, and automation platforms.
• Help evaluate how AI interacts with identity, permissions, APIs, and data sources.
• Research emerging attacker techniques targeting modern application stacks, CI/CD and developer tooling, and AI/LLM systems.
• Contribute to Red Team playbooks, test cases, and repeatable workflows.
• Support senior operators with engagement reporting and evidence collection.
• Participate in post-engagement discussions with defensive and engineering teams.
• Develop and operationalize custom ML/LLM models for cybersecurity use cases.
• Advance preventative, detective, and responsive security controls through applied AI innovation.
• Evaluate emerging AI capabilities for cybersecurity and mature predictive, proactive threat response.

Benefits

• 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.
• May be eligible for discretionary performance-based bonus and/or incentive compensation.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level