Global Red Team AI Engineer, Analyst at MUFG in Jersey City, NJ

Summary: MUFG is one of the world’s leading financial groups, and they are seeking a Global Red Team AI Engineer, Analyst to support Red Team operations by executing adversary-emulation activities focused on AI-enabled technologies. This early-career role involves participating in threat-led assessments and AI security testing to help identify vulnerabilities in applications and automation pipelines. Responsibilities: - Participate in Red Team missions designed to simulate real‑world attacker behavior against MUFG applications and platforms - Execute assigned activities during: - Adversary simulation and emulation (ASE) - Assumed‑breach scenarios - Purple team and control‑validation exercises - Safely conduct testing activities aligned to approved scopes, deconfliction requirements, and operational guardrails - Support adversarial testing of AI‑enabled capabilities, including: - 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, 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 - AI/LLM systems - Contribute to Red Team playbooks, test cases, and repeatable workflows - Support senior operators in 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 Required Qualifications: - 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) Preferred Qualifications: - 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) Required Skills: Agentic AI, Large Language Models (LLMs), Custom Machine Learning Model Development, Open-source AI Frameworks, PyTorch, TensorFlow, SageMaker, Adversarial Thinking, REST APIs, OAuth/OIDC, JWT, CI/CD Pipelines, DevOps Tooling, Enterprise Cloud AI Platforms, Analytical Skills, Willingness to Learn 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, Holidays