AI Security Engineer

Lead.

The Day-to-Day:

• Plan, design, and build secure AI architectures applying NVIDIA NeMo Guardrails, Azure AI Foundry, and enterprise LLM integrations

• Collaboratively develop agent RBAC (role-based access control) to ensure AI agents operate under permissions aligned to firm roles, enforcing least-privilege access

• Design integrations for AI systems with corporate IAM/SSO (Entra, Okta, etc.) to manage persona- and role-based access across the enterprise

• Design Data Loss Prevention (DLP) and redaction pipelines to prevent confidential, regulated, or proprietary data from being sent to external LLM endpoints

• Provide technical advice, direction, and hands-on support to design and develop safe, compliant, and resilient AI workflows

• Evaluate existing and proposed AI/ML architectures for bias, fairness, drift, hallucination, and security risks; recommend controls aligned with NIST AI RMF, EU AI Act, ISO/IEC 42001, CIS

• Collaborate with Information Security, Cloud, Governance, and Engineering teams to implement standardized AI safety and compliance practices

• Actively contribute to the development of AI security standards, playbooks, and architectural patterns

• Automate guardrails, compliance checks, and AI gateway protections for scale and efficiency

• Build and maintain initiative-level artifacts, including AI policy-as-code configs (YAML), architectural diagrams, and risk assessments

• Monitor, log, and audit AI activity for policy violations, compliance tracking, and security event correlation. YAML-based guardrails, architectural diagrams, and AI risk assessments

Your Qualifications:

• 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

Compensation:

• $125,000 - $165,000 base salary per year in the state of WA - New hires should expect to start at the lower end of the range depending on experience.

• Eligible for a discretionary bonus based on firm and individual performance.

Why Fisher Investments:

We work for a bigger purpose: bettering the investment universe. We take great pride in our inclusive culture, our learning and development framework customized for every employee, and our Great Place to Work Certification. It's the people that make the Fisher purpose possible, and we invest in them by offering exceptional benefits like:

• 100% paid medical, dental and vision premiums for you and your qualifying dependents

• A 50% 401(k) match, up to the IRS maximum

• 20 days of PTO, plus 10 paid holidays

• Family Support programs including 8 week Paid Primary Caregiver Leave, $10,000 fertility, family forming, and hormonal health assistance, and back-up child, adult, and elder care

• This is an in-office role. Based on your role, tenure, and performance eligibility you may have the opportunity to participate in our hybrid work from home program. This program is subject to change.

FISHER INVESTMENTS IS AN EQUAL OPPORTUNITY EMPLOYER