AI-Enabled Cybersecurity Engineer

At Staffworxs, we don't just connect talent — we power transformation. Headquartered in Frisco, TX, with teams in Bengaluru and Hyderabad, we combine global reach with deep expertise. Our Digital & Data Analytics practice drives growth and innovation for some of the world's top brands, who continue to retain us as their trusted partner. Role: AI-Enabled Cybersecurity Engineer Type: Long term Contract

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. 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. 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. identify follow-on opportunities and report them back to the account team.

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; Splunk, Sentinel), EDR, IAM, NIST CSF, MITRE Telecommunication&CK.

Cloud security experience on AWS and/or Azure.

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.

We celebrate diversity and are committed to creating an inclusive workplace for all employees, regardless of race, color, religion, gender, sexual orientation, national origin, age, disability, or veteran status.