AI Security Operations Engineer
Job ID: 36403
Date Added: 02/02/2026
6+ months – Remote
$90.00 – $107/hr W2 only
Our client is seeking an AI Security Operations Engineer to join the Cybersecurity organization, reporting to the Senior Manager, Cyber Security. This role focuses on the secure operation, monitoring, and continuous improvement of enterprise AI platforms and AI security tooling, with primary responsibility for Palo Alto Prisma AIRS.
The AI Operations Engineer partners closely with security architecture, cloud, engineering, and business teams to enable safe and scalable AI adoption across the enterprise. The ideal candidate is experimentation-driven, operationally disciplined, and effective at translating AI security requirements into actionable remediation and measurable outcomes.
Key Responsibilities
- Lead the onboarding and integration of AI platforms, AI-enabled SaaS applications, and automation workflows into Palo Alto Prisma AIRS, ensuring comprehensive visibility and coverage.
- Configure, tune, and maintain Prisma AIRS policies and detections to maximize signal quality and reduce false positives.
- Continuously monitor AI runtime activity and security posture, identifying risks related to data access, agent behavior, misconfigurations, and policy violations.
- Support AI-enabled platforms and services across AWS and GCP, including Microsoft Copilot, TrueFoundry, n8n, and Glean.
- Partner with engineering, platform, and business teams to remediate AI security findings, providing clear guidance and operational support throughout remediation efforts.
- Track and report remediation status, risk trends, and operational metrics to both technical stakeholders and leadership audiences.
- Develop and maintain AI security operations runbooks, procedures, and response playbooks.
- Define and manage key performance indicators (KPIs) to measure AI security posture, control effectiveness, and remediation progress.
- Assist in triaging and responding to AI-related security events and incidents in coordination with SecOps and Cloud Operations teams.
- Promote secure-by-design and privacy-by-design principles through effective collaboration with AI product, data, and engineering stakeholders.
- Contribute to continuous improvement of AI operational processes, monitoring strategies, and security tooling.
- 5+ years of experience in security operations, cloud operations, platform operations, or a related field.
- 2+ years of experience operating or supporting AI platforms, AI-enabled SaaS applications, or security monitoring tools.
- Hands-on experience with cloud platforms in AWS and/or GCP.
- Demonstrated experience leading remediation efforts and tracking/reporting progress to technical and leadership stakeholders.
- Strong understanding of identity, access control, APIs, logging, and monitoring within cloud and SaaS environments.
- Excellent verbal and written communication skills, with the ability to explain complex technical issues to diverse audiences.
- Strong collaboration skills and ability to build alignment across cross-functional teams.
- Proven ability to drive projects and operational tasks to completion in dynamic environments.
- Experience operating AI security or runtime monitoring platforms such as Palo Alto Prisma AIRS or similar tools.
- Hands-on experience with one or more of the following:
- Microsoft Copilot (M365, Copilot Studio)
- TrueFoundry or similar ML/LLM orchestration platforms
- n8n or other automation/workflow platforms
- Glean or enterprise AI search solutions
- AI services in AWS (e.g., Bedrock-based workloads) or GCP (e.g., Vertex AI)
- Familiarity with AI/LLM security risks such as prompt injection, data leakage, over-privileged agents, and unintended automation.
- Experience automating or scripting operational tasks (Python, PowerShell, Bash).
- Background in large enterprise, Fortune 500, or regulated environments.
- Telecom, cable, or large-scale SaaS experience.
- Relevant industry certifications such as CISSP, CISM, CISA, AWS, Azure, or GCP certifications
(dependent on factors including but not limited to client requirements, experience, statutory considerations, and location).
*Note: Disclosure as required by the Equal Pay for Equal Work Act (CO), NYC Pay Transparency Law, and sb5761 (WA)
Synergis is proud to be an Equal Opportunity Employer. We value diversity and do not discriminate on the basis of race, color, ethnicity, national origin, religion, age, gender, gender identity, political affiliation, sexual orientation, marital status, disability, military/veteran status, or any other status protected by applicable law.
For consideration, please forward your resume to dwicks@synergishr.com
If you require assistance or an accommodation in the application or employment process, please contact us at dwicks@synergishr.com.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with the requirements of applicable state and local laws, including but not limited to, the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Synergis is a workforce solutions partner serving thousands of businesses and job seekers nationwide. Our digital world has accelerated the need for businesses to build IT ecosystems that enable growth and innovation along with enhancing the Total Experience (TX). Synergis partners with our clients at the intersection of talent and transformation to scale their balanced teams of tech, digital and creative professionals. Learn more about Synergis at ww.synergishr.com.