Senior AI Security Engineer

Role Description

As a Senior AI Security Engineer at Panorama, you'll own the security of our internal AI systems, tooling, and the external services we integrate with. Our mission is serving students and educators, and protecting their data is the foundation that everything else depends on. AI is central to unlocking better outcomes for the students and educators we serve, and this role exists to ensure we do so responsibly.

You'll work closely with the teams building our shared AI infrastructure, leading how we evaluate, govern, and secure AI tools and services as the landscape continues to evolve. This is a hands-on engineering role for someone who brings structure to ambiguous problems and is energized by work that hasn't been fully mapped out yet. You'll report to the Director of Information Security.

What You'll Do

• Securing Internal AI Systems
  • Lead the security design for Panorama's shared AI infrastructure and AI-powered internal workflows, building the guardrails that govern how AI systems access, process, and handle sensitive data at every layer.
  • Own threat modeling for AI-specific risks, including the attack surfaces that don't map cleanly onto traditional application security.
  • Design controls for validating, logging, and auditing AI outputs in contexts where accuracy and data protection are non-negotiable.
  • Build security tooling and automated checks that let internal teams adopt AI capabilities without slowing down.
• AI Tool and Integration Governance
  • Build and maintain the process for reviewing external AI tools, APIs, and SaaS integrations before internal adoption, keeping criteria current as the vendor landscape evolves.
  • Evaluate third-party AI services for data handling practices, privacy posture, and risk to sensitive data.
  • Establish standards for how teams integrate external model providers and AI-powered tools, covering technical, privacy, and contractual requirements.
• AI Security Governance
  • Define and drive Panorama's approach to AI security governance, including the policies, standards, and decision-making processes we use to adopt AI responsibly.
  • Work with security and engineering leadership to align AI governance with broader data protection and compliance obligations.
  • Serve as the internal point of view on AI security risk, helping leadership understand tradeoffs and make informed decisions as we expand our AI capabilities.
• Partnership and Enablement
  • Work closely with the engineers and product leaders owning the internal AI platform to embed security into the platform itself.
  • Partner with squads and teams adopting AI tooling to apply the right patterns early and avoid risks.
  • Translate security requirements into practical guidance the team can act on.
  • Collaborate with IT on the identity, access, and device controls that intersect with AI systems and integrations.
  • Serve as an active member of the security squad, keeping AI security integrated into Panorama's broader security approaches, standards, and decision-making.

Qualifications

• 5+ years of security engineering experience, with hands-on work building and securing production systems.
• Direct experience with AI systems security: LLM integrations, tool-using agents, retrieval pipelines, or comparable work.
• A genuine commitment to protecting student data and to the mission of serving students and educators.
• Experience evaluating or governing third-party AI tools and services, with an eye toward data privacy and vendor risk.
• Strong grounding in application and data security: threat modeling, access control, secrets management, and secure handling of sensitive data.
• Demonstrated ability to build security programs, processes, or standards from scratch rather than inheriting a mature playbook.
• Comfort operating in a space where the tools, risks, and best practices are still being defined, and a track record of bringing structure to ambiguous problems.
• A collaborative working style that brings teams along rather than gating them.

Nice to Have

• Familiarity with MCP or similar tool-use and integration patterns.
• Experience securing internal developer platforms or shared infrastructure.
• Knowledge of K-12 privacy requirements such as FERPA, COPPA, or state-level student data privacy laws.
• Experience with cloud security guardrails, posture management, and identity and access patterns.

Benefits

• Base Salary: The base salary range for this position is $170,000- $250,000 USD // Annually.
• 401K with an employer match.
• Health, dental, vision, life insurance, and short-term and long-term disability coverage.
• Flexible spending account for health care and dependent care.
• Wellness Reimbursement.
• Work from Home Reimbursement.
• Flexible vacation policy.
• Parental leave program.
• Company Issued Laptop.