Cybersecurity AI Forward Deployed Engineer

Logic is hiring a Cybersecurity AI Forward Deployed Engineer for onsite work in Morristown, NJ. In this role, you will be embedded inside a client’s enterprise to help make AI systems secure, governed, and resilient. The work is hands-on and build-focused, centered on production engineering outcomes rather than security consulting, compliance advisory, or penetration testing.

Salary: USD 59,100 - 235,100 per year. Experience: 3+ years. Education: Bachelor’s degree or equivalent.

Benefits you can plan around

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

Responsibilities

• Support AI security architecture and threat modeling for production agentic deployments across complex, multi-stakeholder client environments, owning security design from assessment through hardened deployment for LLM systems, multi-agent pipelines, RAG architectures, and MLOps infrastructure
• Deliver 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 with Claude Code, Cursor, or GitHub Copilot
• Manage AI-specific threat surface at program scale, including 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, covering identity and access for AI systems, data pipeline security, model serving security, and multi-system integration risk across AWS, Azure, and GCP
• Assist with implementation of AI governance frameworks, applying EU AI Act, NIST AI RMF, and model risk management to live production systems
• Support clients’ CISO and CTO with AI reinvention security strategy through 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 help grow the Secure AI practice
• Participate in architecture design sessions, threat modeling workshops, and code-with sessions with client engineering and security leadership teams

Requirements

• Minimum of 3 years of engineering experience in production environments with cybersecurity discipline depth in at least one area: AppSec, SecOps / detection engineering, cloud security, IAM, offensive security / penetration testing, or GRC
• Minimum of 1 year of hands-on experience designing and deploying agentic AI solutions in a production environment (theoretical familiarity does not qualify)
• Minimum of 3 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 (minimum 12 years work experience). If Associate’s degree, minimum 6 years work experience
• Proven ability to communicate security risk in business terms, translating threat exposure into risk-adjusted investment rationale a CISO or CFO would act on

Technologies you will work with

• Claude Code, Cursor, GitHub Copilot
• OWASP LLM Top 10
• EU AI Act, NIST AI RMF
• AWS, Azure, GCP

Travel

Travel may be required for this role, varying from 0 to 100% depending on business need and client requirements.