Cybersecurity Forward Deployed Engineer - FDE - Manager

Role: Cybersecurity Forward Deployed Engineer, FDE, Manager, onsite in Morristown, NJ.

Responsibilities

• Lead AI security architecture and threat modeling for production agentic deployments across complex multi-stakeholder client environments, including LLM systems, multi-agent pipelines, RAG architectures, and MLOps infrastructure, owning the full security design from assessment to hardened deployment
• Provide hands-on security engineering using agentic coding tools as the primary build environment, building AI powered detection systems, automated threat response tooling, security assessment frameworks, and governance automation using Claude Code, Cursor, or GitHub Copilot in daily delivery practice
• Own AI specific threat surface management at program 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 multi system integration risk across AWS, Azure, and 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 by developing 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 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 a cybersecurity discipline depth in at least one area: 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 environments; theoretical familiarity does not qualify
• Minimum 6 years of demonstrated end to end security delivery ownership experience in a client embedded or production environment; 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 Associate’s Degree, must have minimum 6 years work experience
• Proven ability to communicate security risk in business terms and translate threat exposure into risk adjusted investment rationale a CISO or CFO would act on
• People leadership experience: managing, developing, and performance managing a team of engineers, including setting individual development plans and conducting career conversations

Technologies

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

Compensation

Salary range: USD 87,400 - 305,000 per year.

Benefits

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

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