Principal Engineer, AI Security

GranicusRemote,
$150,600 - $187,400Remote

About The Position

Granicus is seeking a Principal Engineer, AI Security to help mature existing and define/build the next generation of AI security capabilities, guardrails, and control plane(s) across the enterprise. This is a senior technical leadership role focused on maturing and implementing the AI security control plane that will shape how Granicus securely adopts AI internally, securely builds AI-enabled products, and defends against AI-enabled adversaries. You will work across technology teams (e.g., SW Eng, Cloud, IT) and with your security peers (e.g., Product Security, Cyber Defense, and GRC) to drive scalable controls, secure patterns, and modern approaches to AI-enabled security. This role is ideal for a deeply technical, principal-level security engineer who has embraced AI early, actively builds with modern AI systems, and understands how AI fundamentally changes software development and enterprise security.

Requirements

  • 10+ years of experience in Security Engineering, Product Security, Application Security, Platform Security, or related technical disciplines
  • Experience operating as a senior or principal-level technical leader across multiple engineering domains
  • Deep familiarity with LLMs, copilots, agents, AI-assisted development, and AI-enabled workflows
  • Strong understanding of how AI changes SDLC practices, attack surfaces, vulnerability management, identity and access models, and security operations
  • Actively builds and experiments with AI technologies
  • Experience securing AI-enabled applications or platforms in production
  • Familiarity with adversarial AI, prompt injection, model abuse, or AI red teaming
  • Experience integrating security controls into large-scale engineering workflows
  • SaaS, cloud-native, or regulated industry experience
  • Strong background in cloud-native architectures, APIs and distributed systems, CI/CD and developer tooling, security automation, and secure software engineering
  • Ability to design pragmatic, scalable security controls and patterns
  • Builder mentality with strong systems-thinking capability
  • Pragmatic, execution-oriented, and comfortable operating in ambiguity
  • Able to influence teams without relying on formal authority
  • Focused on solving real problems—not implementing theoretical framework
  • Responsible for Granicus information security by appropriately preserving the Confidentiality, Integrity, and Availability (CIA) of Granicus information assets in accordance with the company's information security program.
  • Responsible for ensuring the data privacy of our employees and customers, their data, as well as taking all required privacy training in a timely manner, in accordance with company policies.

Responsibilities

  • Design and implement scalable controls for AI-enabled development and operations
  • Establish secure patterns for LLMs and agents, AI-assisted development, model and inference access, data protection and governance, and AI telemetry and visibility
  • Create guardrails that enable safe AI adoption without slowing engineering velocity
  • Partner with Product Security and Engineering to evolve the SDLC for an AI-enabled world
  • Embed security directly into developer workflows through pipeline enforcement, AI-aware testing, secure coding patterns, and automated controls
  • Help shift vulnerability management from reactive patching toward systemic risk reduction
  • Partner with Cyber Defense teams to address how AI changes attacker behavior, detection and response, vulnerability exploitation, and operational tempo
  • Prototype and implement AI-enabled approaches for detection engineering, prioritization, and security operations automation
  • Translate emerging AI risks into actionable engineering strategy
  • Identify high-risk gaps and drive practical solutions
  • Establish scalable architectural and implementation patterns across teams
  • Serve as a senior technical advisor across security and engineering organizations
  • Prototype systems, controls, and integrations directly
  • Evaluate emerging AI tooling, technologies, and attack techniques
  • Contribute code, architecture, and technical designs where needed

Benefits

  • Flexible Time Off
  • Company-Wide Wellbeing Days
  • Work From Home Reimbursement
  • Multiple Health Plan Options
  • Employer HSA Contributions
  • Fitness Reimbursement Program
  • On-Demand Mental Health Support
  • Paid Parental Leave
  • Traditional & Roth 401(k) with a generous company match
  • Life & AD&D Insurance
  • Online Learning Platforms
  • Competitive Salary & Bonuses
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