Tactical Edge
Back to Careers

Security Engineer, AI Agents

Secure agentic AI systems, tool access, cloud infrastructure, and enterprise integrations from architecture through production.

Remote / HybridSecurity, Quality & ReliabilityFull-time

Role Overview

Own security for Tactical Edge's agentic AI systems, cloud infrastructure, and customer-facing integrations. You will secure agent identities, model and tool access, data flows, and deployment environments while supporting enterprise controls such as SOC 2, FedRAMP, and HIPAA. This role is hands-on: you will work directly with engineering, AI, and delivery teams to make agent systems safe enough for real organizations.

What You'll Do

  • Design and enforce security controls for agentic AI systems, tool calls, MCP-style integrations, and cloud infrastructure.
  • Review agent architectures for privilege boundaries, data exposure, prompt injection paths, and unsafe tool access.
  • Implement and manage IAM, network security, secrets management, audit logging, and data protection.
  • Partner with engineering and AI teams to embed security checks into development and release workflows.
  • Support security reviews, audits, and customer security questionnaires.
  • Monitor, assess, and respond to security issues across agents, applications, and cloud services.
  • Define security standards for agent permissions, retrieval access, model usage, and production operations.
  • Balance delivery speed with real safeguards customers can trust.

    • What We're Looking For

  • Experience in cloud, application, or AI security within production environments.
  • Strong understanding of AWS security services and shared responsibility models.
  • Familiarity with enterprise security controls, compliance standards, and risk frameworks.
  • Ability to collaborate pragmatically with engineering and delivery teams.
  • Hands-on mindset focused on real-world threat mitigation, not checklist-only security.
  • Clear communication skills for technical and non-technical stakeholders.
  • Bonus: Experience securing AI agents, data platforms, retrieval systems, or ML workflows.

    • How We Work

    Outcome-driven

    Security that enables production, not blocks it

    Enterprise-first

    Governance, compliance, and trust

    Secure by design

    Security embedded early, not bolted on

    Small teams, high ownership

    Autonomy with accountability

    What You'll Get

    • Ownership of security for real, production AI systems
    • Exposure to enterprise-scale cloud and AI architectures
    • Collaboration with product, AI, engineering, and delivery teams
    • Competitive compensation (role/location dependent)
    • Flexible work setup where applicable

    Hiring Process

    1. 1Intro call (context + fit)
    2. 2Security architecture discussion (real-world scenarios)
    3. 3Cross-functional interview (engineering/delivery perspective)
    4. 4Final conversation

    We value pragmatic security, clear judgment, and collaboration over rigid gatekeeping.

    Apply for this role
    View all roles