Senior AI Security Engineer

Panorama Education is a technology company building the leading platform for student insight and action in K-12. As a Senior AI Security Engineer, you'll own the security of internal AI systems and external services, ensuring responsible use of AI to protect student data and enhance educational outcomes.

Responsibilities:

• 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
• 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
• 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
• 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

Requirements:

• 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
• 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