Cybersecurity AI Forward Deployed Engineer

Cybersecurity Jobs; Morristown (NJ); On-site; USD 59,000 - 235,000; Full time

Benefits offered by this job

Medical, dental, vision, life, and LTD

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Logic in Morristown, NJ is hiring a Cybersecurity AI Forward Deployed Engineer for onsite work inside a client’s enterprise. You will help make AI systems secure, governed, and resilient, with hands‑on production engineering focus.

The role requires 3+ years in security engineering, a Bachelor's degree or equivalent, and experience deploying agentic AI solutions across cloud platforms. Travel may be required; compensation ranges USD 59,100 to 235,100 per year.

Qualifications

• Minimum of 3 years of engineering experience in production environments with cybersecurity depth.
• Minimum of 1 year hands-on experience deploying agentic AI solutions in production.
• Minimum of 3 years working with cloud platform security fundamentals (AWS/Azure/GCP).
• Bachelor’s degree or equivalent (minimum 12 years work experience).
• Ability to communicate security risk in business terms for leadership.

Responsibilities

• Support AI security architecture and threat modeling for production deployments across client environments.
• Deliver hands-on security engineering using agentic coding tools for AI systems and governance automation.
• Manage AI threat surface across multiple client workstreams, covering risk controls and safety measures.
• Architect and govern security controls across identity, data pipelines, and model serving in cloud environments.
• Assist with AI governance frameworks and risk-adjusted investment cases for security programs.

Skills

Security architecture

Threat modeling

AI security

Cloud security fundamentals

Education

Bachelor’s degree or equivalent

Tools

Claude Code

Cursor

GitHub Copilot

Job description

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.