Cybersecurity Forward Deployed Engineer - FDE Senior Manager
About the role
Cybersecurity Forward Deployed Engineers (FDEs) are production engineers embedded inside a client’s enterprise. They work shoulder to shoulder with the client’s security and engineering teams to ensure AI systems are secure, governed, and resilient.
Responsibilities
Lead AI security architecture and threat modeling for production agentic deployments across complex multi-stakeholder client environments, owning the full security design from assessment through hardened deployment.
Deliver hands-on security engineering using agentic coding tools as the primary build environment: build 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 programme scale: OWASP LLM Top 10 controls, prompt injection hardening, model extraction prevention, adversarial input defences, 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 cloud platforms (AWS, Azure, or GCP).
Lead AI governance framework implementation: EU AI Act, NIST AI RMF, and model risk management applied to live production systems, not theoretical compliance exercises.
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 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 10 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 2 years of hands-on experience designing and deploying agentic AI solutions in a production environment.
Minimum 8 years of demonstrated end-to-end security delivery ownership experience in a client-embedded or production environment.
Minimum 8 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.
Qualifications
Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience).
Skills
Proven ability to communicate security risk in business terms: can translate threat exposure into risk-adjusted investment rationale a CISO or CFO would act on.
People lead responsibilities: experience managing, developing, and performance-managing a team of engineers; setting individual development plans and conducting career conversations.
Pay
Annual salary range: $132,500 to $366,300
Schedule
Varies based on business need and client requirements.
Benefits
Includes medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off.
Accommodations
Requests for reasonable accommodation made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
Equal Employment Opportunity Statement
We are committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. We also provide a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off.