Cybersecurity AI Forward Deployed Engineer

What you'll do

• Design and implement security architectures for production agentic AI systems across multi-stakeholder environments.
• Build automated detection systems, threat response tools, and governance frameworks using agentic coding tools like Claude Code or Cursor.
• Manage specific AI threat surfaces including prompt injection hardening, model extraction prevention, and supply chain security.
• Architect identity, access management, and data pipeline security for AI systems across AWS, Azure, or GCP platforms.
• Implement AI governance frameworks such as the EU AI Act and NIST AI RMF into live production environments.
• Develop risk-adjusted investment cases and security architecture roadmaps for client C-suite leadership.
• Create reusable security patterns, playbooks, and accelerators to scale across multiple client engagements.

What we're looking for

• Minimum of 3 years of engineering experience in production environments with cybersecurity depth in areas like AppSec, SecOps, cloud security, IAM, or GRC.
• Minimum of 1 year of hands-on experience designing and deploying agentic AI solutions in a production environment.
• Minimum of 3 years working with cloud platform security fundamentals across AWS, Azure, or GCP.
• Ability to use agentic coding tools like Claude Code, Cursor, or GitHub Copilot as the primary method for building security tooling and systems.
• Proven ability to communicate technical security risks in business terms to stakeholders such as CISOs or CFOs.
• Bachelor's degree or equivalent (minimum 12 years of work experience).
• Minimum of 6 years of work experience if holding an Associate’s Degree.