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, per year.
Experience: 3+ years.
Education: Bachelor’s degree or equivalent.

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

• 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 Git Hub 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 work streams
• 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

• Minimum of 3 years of engineering experience in production environments with cybersecurity discipline depth in at least one area:
  App Sec
  , Sec Ops / 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

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

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