Cybersecurity Forward Deployed Engineer - FDE - Manager

Responsibilities

• Oversee AI security architecture and threat modeling for production agentic deployments in complex multi-stakeholder environments, including LLMs, multi-agent pipelines, RAG architectures, and MLOps, owning 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 in daily delivery practice.
• Manage AI specific threat surface at program scale: implement OWASP LLM Top 10 controls, prompt injection hardening, model extraction prevention, adversarial input defenses, and AI supply chain security across concurrent client workstreams.
• Architect and govern AI security controls across the enterprise stack: identity and access for AI systems, data pipeline security, model serving security, and multi-system integration risk across AWS, Azure, and GCP.
• Lead AI governance framework implementation including EU AI Act, NIST AI RMF, and model risk management applied to live production systems.
• Shape AI reinvention security strategy for client CISO and CTO: build risk-adjusted investment cases, security architecture roadmaps, and AI governance operating models aligned to commercial outcomes.
• Define and publish reusable security patterns, playbooks, and accelerators that scale across multiple client engagements and expand the Secure AI practice.
• Lead architecture design sessions, threat modeling workshops, and code-with sessions with client engineering and security leadership teams.

Requirements

• Minimum 8 years of engineering experience in production with depth in at least one cybersecurity domain: AppSec, SecOps/detection engineering, cloud security, IAM, offensive security/penetration testing, or GRC.
• Minimum 1 year of hands-on experience designing and deploying agentic AI solutions in production; theoretical familiarity does not qualify.
• Minimum 6 years of end-to-end security delivery ownership in a client-embedded or production environment; internal advisory or compliance-only roles do not qualify.
• Minimum 6 years of cloud platform security fundamentals across AWS, Azure, or GCP: 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 6 years of work experience is required.

Technologies

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

Benefits

• Medical
• Dental
• Vision
• Life
• Long-term disability coverage
• 401(k) plan
• Bonus opportunities
• Paid holidays
• Paid time off

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