Description

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.

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

Key Skills

Education

Any Graduate