AI Systems Engineer

Role overview Guide customers through adopting an AI solution for security and network operations, from early discovery and demonstrations through production deployment and ongoing support. This customer-facing engineering role connects AI agents and automation with operational workflows, while also bringing customer feedback back to product teams.

Responsibilities - Understand customer environments and design integrations into NOC or SOC workflows. - Deploy and configure solutions alongside existing SIEM, SOAR, EDR, or network monitoring tools. - Tailor playbooks and tool-using AI agents to customer use cases and operational needs. - Support proofs of concept and pilots, measuring results against customer KPIs. - Build test environments to validate integrations, simulate incidents, and benchmark performance. - Assist with technical sales activities, architecture reviews, workshops, documentation, and user training; advise customers after implementation and share field feedback with product teams.

Requirements - Strong interest in AI alongside networking or cybersecurity. - Hands-on familiarity with developing AI agents that can call tools. - Ability to independently investigate and solve complex technical problems. - IT engineering or computer science studies or qualification; candidates in their final years are considered. - Willingness to travel for in-person presentations and workshops.

Nice to have - Familiarity with SOC or NOC processes and practices. - Experience configuring cybersecurity or networking tools. - Relevant cybersecurity or networking coursework or certifications.

Benefits and work setup - Remote work options and flexible arrangements; the role may include travel. - Compensation and benefits, plus opportunities for professional development and career growth.