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.
Preferred Qualifications
•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 within highly regulated environments such as Financial Services.
Education
Bachelor's or Master's degree in Cybersecurity, Computer Science, Artificial Intelligence or related field, or relevant industry certifications. Equivalent work experience is equally preferable.
Visa Sponsorship
Visa sponsorship/support is based on business needs. The company does not anticipate providing visa sponsorship/support for this position.
Compensation
The typical base pay range for this role is:
•New York / New Jersey: $140k – $203k
•Non – New York/New Jersey: $140k – $185k
Depending on job-related knowledge, skills, experience and location. This role may also be eligible for discretionary performance-based bonus and/or incentive compensation. Total Rewards program includes 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, and paid vacation, sick days, and holidays.
Work Schedule
Hybrid work schedule: four days on-site (at an MUFG office or client sites) and one day remote per week.
