VP, Senior AI Security Engineer at MUFG in Jersey City, NJ

Job description

Do you want your voice heard and your actions to count? 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. Senior AI Security Engineer Role Overview MUFG is seeking an experienced AI Security engineer to establish and scale the Enterprise AI Security and Agentic AI Program. This role will lead the development of secure, governed, and enterprise-grade AI capabilities using Microsoft Copilot Studio, Microsoft 365 Copilot, Azure AI Foundry, and Azure OpenAI. The ideal candidate will combine deep technical expertise in Agentic AI engineering with cybersecurity experience to build AI agents that automate and enhance security operations while adhering to enterprise security, compliance, and risk management requirements. Key Responsibilities Design, develop, and deploy AI agents using Microsoft Copilot Studio, 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 leveraging 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 risks such as 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. Qualifications 5+ years of experience in Security Engineering and related cyber security domain. 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 capable of performing actions, orchestrating workflows, integrating tools, and supporting 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. Preferr