VP, Senior AI Security Engineer

MUFG•Jersey City, NJ
•$140,000 - $203,000•Hybrid

About The Position

MUFG is seeking an experienced AI Security Engineer to establish and scale its Enterprise AI Security and Agentic AI Program. The role leads development of secure, governed, enterprise-grade AI capabilities using Microsoft Copilot Studio, Microsoft 365 Copilot, Azure AI Foundry, and Azure OpenAI. The position combines Agentic AI engineering and cybersecurity expertise to build AI agents that automate and enhance security operations while meeting enterprise security, compliance, and risk-management requirements. The selected colleague works at an MUFG office or client site four days per week and remotely one day per week. The role may be eligible for discretionary performance-based bonus or incentive compensation. The typical base pay range is $140,000–$203,000 in New York/New Jersey and $140,000–$185,000 elsewhere, depending on job-related knowledge, skills, experience, and location. Visa sponsorship or support is not anticipated for this position, though it is based on business needs.

Requirements

  • At least 5 years of experience in Security Engineering or a related cybersecurity domain.
  • At least 3 years of hands-on experience building Generative AI, Agentic AI, or Copilot-based solutions in enterprise environments.
  • Deep expertise with Microsoft Copilot Studio, Microsoft 365 Copilot, Copilot extensibility, and Azure AI Foundry.
  • Experience building AI agents that perform actions, orchestrate workflows, integrate tools, and support autonomous decision-making.
  • Strong experience with Azure OpenAI, Azure AI Search, Microsoft Graph, RAG architectures, and enterprise knowledge grounding.
  • Proficiency in Python, REST APIs, workflow automation, and enterprise system integration.
  • Strong understanding of AI security, governance, model risk management, Responsible AI, and regulatory requirements.
  • Experience implementing AI security controls, including RBAC, approval workflows, audit logging, monitoring, and operational guardrails.
  • Strong leadership and stakeholder-management skills, with the ability to influence technical teams and executive audiences.
  • Bachelor's or master's degree in Cybersecurity, Computer Science, Artificial Intelligence, or a related field, or relevant industry certifications; equivalent work experience is also considered.

Nice To Haves

  • Experience building AI agents for cybersecurity operations.
  • Experience with Microsoft Security solutions, including Sentinel, Defender, Entra ID, and Security Copilot.
  • Experience integrating Copilot Studio agents with ServiceNow, Microsoft Graph, SharePoint, Teams, and enterprise security platforms.
  • Experience with Semantic Kernel, LangGraph, LangChain, or similar agent orchestration frameworks.
  • Experience working in highly regulated environments such as financial services.

Responsibilities

  • Design, develop, and deploy AI agents using Microsoft Copilot Studio and Microsoft 365 Copilot.
  • Build agentic cybersecurity solutions for incident investigation, vulnerability prioritization, threat analysis, compliance monitoring, knowledge retrieval, and remediation orchestration.
  • Develop enterprise AI solutions using Copilot extensibility, Microsoft Graph, Azure AI Search, Retrieval Augmented Generation (RAG), and enterprise knowledge repositories.
  • Establish AI governance frameworks, including approval workflows, human-in-the-loop controls, auditability, model risk management, and Responsible AI practices.
  • Implement security guardrails to mitigate prompt injection, excessive permissions, data leakage, unauthorized actions, and model misuse.
  • Integrate AI agents with enterprise platforms, including ServiceNow, Defender, and other security technologies.
  • Define engineering standards, reusable frameworks, and best practices for secure AI agent development, testing, monitoring, and lifecycle management.
  • Partner with Security, Risk, Compliance, Legal, and Technology teams to ensure secure and compliant adoption of AI solutions.
  • Evaluate and incorporate emerging Microsoft AI and Agentic AI capabilities to accelerate automation and operational efficiency.

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.
  • The role may be eligible for discretionary performance-based bonus and/or incentive compensation.
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