AI Enabled Cybersecurity Engineer

Title : AI-Enabled Cybersecurity Engineer

Location : Tarrytown, NY – Onsite

Type: Contract
Job Description :

Our client's cybersecurity team is starting a set of projects that apply AI to security work. We need a hands-on engineer who knows both cybersecurity and modern AI tooling. You'll work onsite in Tarrytown, whiteboard problems with client security leaders, and build working solutions quickly with AI coding tools such as Claude Code. You'll integrate them with client's existing security stack.

Responsibilities

Work with client security stakeholders to scope AI use cases in cybersecurity: threat detection, alert triage, vulnerability management, security operations automation and policy/compliance analysis.

Lead whiteboarding and design sessions; turn rough problem statements into clear architectures and delivery plans.

Build prototypes and production solutions fast, using AI coding assistants (Claude Code, GitHub Copilot or similar) and LLM/agent frameworks.

Integrate AI solutions with the client's security tools and data sources (e.g., SIEM, SOAR, EDR, IAM, cloud security posture tools).

Make sure AI solutions meet enterprise security, privacy and governance needs, including GxP/regulated-environment expectations where they apply.

Write up designs, runbooks and findings; present progress and recommendations to client leadership.

Act as Agilisium's onsite technical point of contact; identify follow-on opportunities and report them back to the account team.

Required Qualifications

5+ years in cybersecurity engineering, security operations or security architecture.

Hands-on experience building with LLMs, AI agents or ML in a security context.

Strong, practical use of AI coding tools, Claude Code preferred, plus solid scripting/development skills (Python; PowerShell or Bash).

Working knowledge of security tooling and frameworks: SIEM/SOAR (e.g., Splunk, Sentinel), EDR, IAM, NIST CSF, MITRE ATT&CK.

Cloud security experience on AWS and/or Azure.

Excellent whiteboarding, communication and client-facing skills; comfortable working directly with senior security stakeholders.

Preferred Qualifications

Experience in life sciences, pharma or another regulated industry (GxP, HIPAA, 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 (e.g., NIST AI RMF).

Consulting or systems-integrator background.