AI-Enabled Cybersecurity Engineer

Staffworxs • Tarrytown, NY

11h • Onsite

About The Position

Staffworxs is hiring an AI-Enabled Cybersecurity Engineer for an onsite contract role in Tarrytown, NY. The engineer will support a client cybersecurity team launching projects that apply AI to security work. This hands-on role combines cybersecurity expertise with modern AI tooling and involves working onsite, collaborating with client security leaders, and quickly building solutions with AI coding tools such as Claude Code. The solutions will be integrated with the client’s existing security stack.

The engineer will work with stakeholders on cybersecurity AI use cases, design and build prototypes and production solutions, and ensure that implementations meet enterprise security, privacy, governance, and applicable GxP or regulated-environment expectations. The role also includes documenting designs and findings, presenting recommendations to client leadership, and serving as the client’s onsite technical point of contact.

Requirements

• At least 5 years of experience in cybersecurity engineering, security operations, or security architecture.
• Hands-on experience building with LLMs, AI agents, or machine learning in a security context.
• Practical experience with AI coding tools; Claude Code is preferred.
• Scripting or development skills, including Python and PowerShell or Bash.
• Working knowledge of security tools and frameworks, including SIEM/SOAR (such as Splunk or Sentinel), EDR, IAM, NIST CSF, and MITRE ATT&CK.
• Cloud security experience with AWS and/or Azure.
• Excellent whiteboarding, communication, and client-facing skills, including comfort working directly with senior security stakeholders.

Nice To Haves

• Experience in life sciences, pharma, or another regulated industry, including GxP, HIPAA, or 21 CFR Part 11.
• Security certifications such as CISSP, CCSP, GIAC, OSCP, or cloud security certifications.
• Experience with retrieval-augmented generation (RAG), prompt security, LLM red-teaming, or AI governance frameworks such as NIST AI RMF.
• Consulting or systems-integrator background.

Responsibilities

• Work with client security stakeholders to scope AI use cases in threat detection, alert triage, vulnerability management, security operations automation, and policy or compliance analysis.
• Lead whiteboarding and design sessions, turning problem statements into architectures and delivery plans.
• Build prototypes and production solutions using AI coding assistants such as Claude Code, GitHub Copilot, or similar tools, along with LLM or agent frameworks.
• Integrate AI solutions with client security tools and data sources, including SIEM, SOAR, EDR, IAM, and cloud security posture tools.
• Ensure AI solutions address enterprise security, privacy, and governance requirements, including applicable GxP or regulated-environment expectations.
• Document designs, runbooks, and findings, and present progress and recommendations to client leadership.
• Serve as the client’s onsite technical point of contact, identify follow-on opportunities, and report them to the account team.

What This Job Offers

• Career Level: Senior
• Education Level: No Education Listed