Global Red Team AI Engineer – Analyst

MUFG

. Participate in Red Team missions simulating real-world attacker behavior against MUFG applications and platforms .

Posted 11/9/2026full-timeUnited StatesMid-LevelSenior💰 $80,000 - $100,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in adversarial simulation and emulation, with a strong focus on AI-enabled cybersecurity capabilities. Proficient in developing and operationalizing custom ML models while evaluating interactions between AI, identity, and data sources.

Highest-signal resume keywords

Adversarial SimulationCustom ML Model DevelopmentAI/LLM Tools ExperienceOpen-Source AI FrameworksCI/CD Pipeline Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Computer Science DegreeSoftware Engineering DegreeAgentic AI ExperienceLLM ProficiencyAnalytical SkillsAttention to DetailPrompt-Driven WorkflowsREST API FamiliarityOAuth/OIDC KnowledgeJWT Familiarity

Soft Skills

Willingness to Learn Adversarial Thinking

Tools & Technologies

PyTorchTensorFlowSageMakerAzure AI FoundryAWS BedrockGCP Vertex AI

Industry Keywords

Red Team MissionsAdversary SimulationCybersecurityAI Guardrail BypassesPredictive Threat Response

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityGoogle Cloud PlatformPyTorchTensorflow

About the role

Key responsibilities & impact

Participate in Red Team missions simulating real-world attacker behavior against MUFG applications and platforms
Execute assigned activities in adversary simulation and emulation, assumed-breach scenarios, and purple team/control-validation exercises
Conduct testing aligned with approved scopes, deconfliction requirements, and operational guardrails
Support adversarial testing of AI-enabled capabilities, including prompt injection, misuse, unintended data access or disclosure, and AI guardrail bypasses
Assess AI-assisted developer tools, copilots, and automation platforms
Evaluate interactions between AI, 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 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

Requirements

What you’ll need

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 and attention to detail
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, and SageMaker
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

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