AI Security Engineer

We are looking for an AI Security Engineer to design, implement, and secure our next generation of AI solutions. You will combine hands-on engineering with security and governance expertise to ensure safe and compliant AI adoption. You will build and maintain AI guardrails, enforce Agent RBAC and permissions tied to firm roles, and integrate Data Loss Prevention (DLP) pipelines to protect sensitive information from leaking into LLM endpoints. Partnering with cloud, security, and governance teams, you will evaluate AI architectures for bias, drift, and risk, while aligning them with frameworks like NIST AI RMF, EU AI Act, and ISO/IEC 42001. You are equally comfortable developing AI security controls in Python/YAML as they are advising on compliance strategy — ensuring Fisher Investments leverages AI responsibly, securely, and at scale. You will report to the Team Lead.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

• 7+ years in IT, Information Security, or AI/ML engineering roles, with experience in:
○ Design, reviewing, and implementing secure AI programs in enterprise environments
○ Apply compliance frameworks (ISO 27001, SOC 2, NIST AI RMF, EU AI Act, ISO/IEC 42001)
○ Build RBAC/ABAC-based permission models for AI agents and personas
• 2+ years of hands-on AI/ML administration or engineering, including:
○ Experience with NVIDIA NeMo Guardrails, Azure AI Foundry, or similar platforms
○ Design and deploy DLP solutions or privacy-preserving data pipelines for AI
○ Support AI and security operations in a large enterprise
• Proficiency with Terraform, Python, and cloud automation
Prior experience in cloud security, data protection, and SIEM/logging for AI traffic

- Leadership experience is a nice to have

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.