Cybersecurity Forward Deployed Engineer - FDE - Manager

Embedded within a client's organization, this manager-level forward deployed cybersecurity engineer ensures AI deployments are secure, governed, and resilient, delivering reduced attack surfaces and production-ready AI systems.

Responsibilities

• Architect and model security for production agentic AI deployments across multifaceted client environments, covering large language models, multi-agent pipelines, RAG architectures, and MLOps infrastructure; own the complete security design from assessment through hardened deployment.
• Perform hands-on security engineering using agentic coding tools as the primary build environment to create AI powered detectors, automated threat response tooling, security assessment frameworks, and governance automation with tools like Claude Code, Cursor, or GitHub Copilot in daily delivery.
• Own AI threat surface management at program scale, addressing OWASP LLM Top 10 controls, prompt injection hardening, model extraction prevention, adversarial input defenses, and AI supply chain security across concurrent client engagements.
• Design and govern AI security controls across the enterprise stack, including identity and access management for AI systems, data pipeline security, model serving security, and cross-system risk across AWS, Azure, or GCP.
• Lead AI governance framework implementation covering EU AI Act, NIST AI RMF, and model risk management applied to live production systems, not theoretical exercises.
• Shape reinvention security strategies for client CISO and CTO, building 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 that scale across client engagements and expand the Secure AI practice.
• Lead architecture design sessions, threat modeling workshops, and code-with sessions alongside client engineering and security leadership teams.

Requirements

• Minimum 8 years of engineering experience in production with deep cybersecurity expertise in at least one 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 demonstrated 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 platform 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, a minimum of 6 years of work experience is required.
• Proven ability to translate security risk into business terms and present risk-adjusted investment rationale that executives would act on.
• Demonstrated people leadership experience, including 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

Compensation

• Salary: USD 87,400 - 305,000 per year
• Onments: bonus opportunities

Benefits

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

Location

Miami, FL (onsite)