Cybersecurity Forward Deployed Engineer - FDE - Manager

Responsibilities

• Lead AI security architecture and threat modeling for production agentic deployments across complex multi-stakeholder environments, including LLM systems, multi-agent pipelines, RAG architectures, and MLOps infrastructure, owning the security design from assessment through hardened deployment.
• Provide hands-on security engineering using agentic coding tools as the primary build environment to create AI powered detection systems, automated threat response tooling, security assessment frameworks, and governance automation using Claude Code, Cursor, or GitHub Copilot in daily delivery.
• Manage AI specific threat surfaces at programme scale, covering 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, including identity and access for AI systems, data pipeline security, model serving security, and cross-system risk across AWS, Azure, or GCP.
• Lead AI governance framework implementation, applying EU AI Act, NIST AI RMF, and model risk management to live production systems.
• Shape AI reinvention security strategy for client CISO and CTO, building 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 grow the Secure AI practice.
• Lead architecture design sessions, threat modeling workshops, and code-with sessions with client engineering and security leadership teams.

Requirements

• Minimum of 8 years of engineering experience in production environments with depth in at least one cybersecurity domain such as application security, SecOps and detection engineering, cloud security, IAM, offensive security or penetration testing, or governance, risk and compliance.
• 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 setting; internal advisory or compliance-only roles do not qualify.
• Minimum 6 years working with cloud security fundamentals across at least one provider (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, must have at least 6 years of work experience.
• Proven ability to translate security risk into business terms, providing risk-adjusted investment rationale suitable for a CISO or CFO.
• People leadership experience: managing, developing, 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 insurance
• Long-term disability coverage
• 401(k) plan
• Bonus opportunities
• Paid holidays
• Paid time off

Requesting an Accommodation

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