AI Security Engineer
Glocomms is partnered with a globally recognized family office seeking an AI Security/Governance Engineer to help establish and scale enterprise AI governance, security, and risk management capabilities across the organization. This individual will combine strong engineering skills with governance and risk expertise to build scalable controls, automation, and monitoring solutions supporting enterprise AI initiatives. Working closely with stakeholders across the business, the AI Governance Engineer will help ensure AI technologies are deployed securely, responsibly, and in alignment with regulatory expectations while enabling innovation across the business. This is a highly visible role with significant interaction across technical and business leadership teams.
Primary Responsibilities
- Develop and maintain enterprise AI governance frameworks, standards, policies, and controls for AI platforms, AI agents, and agentic AI initiatives.
- Conduct AI risk assessments, threat modeling exercises, security reviews, and red team activities to identify and mitigate emerging AI security risks.
- Design and implement AI-SSDLC and SSDLC controls, partnering with engineering teams to embed governance and security requirements throughout the development lifecycle.
- Build governance automation, reporting, and monitoring solutions using Python, SQL, Power Platform, Power Automate, and related technologies.
- Create dashboards, metrics, and executive reporting that provide visibility into AI risk, compliance posture, governance effectiveness, and control maturity.
- Collaborate with Information Security, Legal, Compliance, Privacy, and Risk stakeholders to support responsible AI adoption and ensure alignment with regulatory and industry frameworks.
Key Qualifications
- Bachelor's degree in Computer Science, Software Engineering, Information Security, or a related technical discipline.
- 5+ years of experience in software engineering, security engineering, technology governance, risk management, AI security, or a related field.
- Strong hands-on experience with Python and SQL, including automation, data analysis, reporting, workflow development, and governance tooling.
- Experience implementing governance, security, compliance, or risk controls for enterprise technology platforms, preferably involving AI, machine learning, or automation solutions.
- Strong understanding of AI security concepts, AI threat modeling, agentic AI risks, and frameworks such as OWASP, STRIDE, PASTA, NIST AI RMF, and ISO/IEC standards.
- Excellent communication and stakeholder management skills, with the ability to influence senior leaders and translate complex technical concepts into actionable business recommendations.
This position operates in a hybrid work environment requiring 3-5 days per week onsite in either Fairfield County, CT or New York City. The successful candidate will play a key role in shaping the firm's enterprise AI security strategy while working closely with senior leadership, technology teams, and business stakeholders across the organization. Limited domestic and international travel may be required.
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