Cybersecurity Forward Deployed Engineer - FDE - Manager

This is a manager-level Cybersecurity Forward Deployed Engineer embedded within a client organization to secure, govern, and strengthen the resilience of AI systems. The role focuses on reducing the attack surface and ensuring production-safe AI deployments through hands-on security engineering and strategic governance.

Responsibilities

• Oversee AI security architecture and threat modeling for production grade, agentic deployments across complex, multi-stakeholder client environments, including LLM systems, multi-agent pipelines, retrieval-augmented generation architectures, and MLOps infrastructure; accountable for the full security design from assessment to hardened deployment.
• Provide hands-on security engineering using agentic coding tools as the primary build environment: develop AI-powered detection systems, automated threat response tooling, security assessment frameworks, and governance automation with Claude Code, Cursor, or GitHub Copilot integrated into daily delivery.
• Manage AI-specific threat surface risk at program scale: implement OWASP LLM Top 10 controls, prompt injection hardening, model extraction defenses, adversarial input protections, and AI supply chain security across concurrent client workstreams.
• Architect and govern AI security controls across the enterprise stack: identity and access management for AI systems, data pipeline security, model serving security, and cross-system integration risk across cloud platforms (AWS, Azure, or GCP).
• Lead the implementation of AI governance frameworks: EU AI Act, NIST AI RMF, and model risk management applied to live production systems.
• Shape AI security strategy for client CISO and CTO: develop risk-adjusted investment cases, security architecture roadmaps, and AI governance operating models aligned to business outcomes.
• Define and publish reusable security patterns, playbooks, and accelerators to scale across multiple client engagements and expand the Secure AI practice.
• Facilitate architecture design sessions, threat modeling workshops, and code-with sessions with client engineering and security leadership teams.

Requirements

• Minimum of eight years of engineering experience in production environments with deep expertise in at least one cybersecurity domain such as AppSec, SecOps / detection engineering, cloud security, IAM, offensive security / penetration testing, or GRC.
• At least one year of hands-on experience designing and deploying agentic AI solutions in production; theoretical familiarity does not qualify.
• Six years of demonstrated end-to-end security delivery ownership in a client-embedded or production environment; internal advisory or compliance-only roles do not qualify.
• Six years of experience with cloud platform security fundamentals on AWS, Azure, or GCP, including IAM, network security, secrets management, and AI service security configurations.
• Bachelor's degree or equivalent work experience (minimum 12 years). If holding an Associate’s degree, a minimum of six years of work experience is required.
• Proven ability to translate security risk into business terms and present risk-adjusted investments that CISO or CFO figures would act upon.
• People leadership experience: managing, mentoring, and performance-managing a team of engineers; setting development plans and conducting career conversations.

Technologies

• Claude Code
• Cursor
• GitHub Copilot
• AWS
• Azure
• GCP

Benefits

• Medical, dental, vision, life, and long-term disability coverage
• 401(k) plan
• Bonus opportunities
• Paid holidays
• Paid time off