LLM Application Engineer

• Security Engineers will possess knowledge and experience in safeguarding sensitive data from cyber-attacks.
• Demonstrated skills in security architecture, IT Security, networking, or systems administration with an emphasis on security.
• Proven knowledge of security architecture design, network security, vulnerability management, and threat intelligence/analysis.
• Knowledge of common information security management frameworks, such as NIST, CIS, ISO 27001, COBIT, or PCI DSS.
• Strong understanding of encryption.
• Strong understanding of networking concepts and protocols (e.g. TCP/IP, LAN, WAN, DHCP, DNS, Routing Protocols, etc.)
• Expert level knowledge of security systems such as SIEM (Microsoft Sentinel), IPS, Firewalls, and related network security tools.
• Operating Systems: Windows, Unix, Mac
• Databases: SQL, Azure, Oracle.
• Must have hands on experience using Model Context Protocol (MCP) to enable AI agents and large language models to interact with external tools, APIs, and enterprise data.

Additional Experience Required:

• 2 years of experience with Microsoft Azure (IaaS, PaaS, IaaS), Microsoft Sentinel, CrowdStrike, Tenable, Palo Alto Firewall Zscaler KQL.
• 1+ years of experience developing AI-enabled solutions using modern LLM tools (e.g., Codex, Claude, or similar) to support GRC and Incident Response processes.
• 3+ years of experience within each of the following:
• Incident response.
• Managing the security of multiple platforms, operating system, software and network protocols for a large IT organization.
• Risk management, auditing, assessment, industry security framework, and/or internal controls.
• Security, operations, control assessment, risk management, auditing, and/or internal controls.
• With security and privacy legal and regulatory requirements.
• Performing information security risk assessments and risk analysis.