Enterprise AI Security Engineer

Aegis AI Security; United States; On-site; USD 120,000 - 150,000; Full time

Job summary

AegisAI is seeking a Customer Engineer to blend deep AI fluency with hands-on architectural skills and customer-facing agility. You will drive enterprise evaluations, guide API-first installations, and architect custom security integrations for prospective customers.

You’ll bridge Agentic AI models with SecOps needs, showing how our protection catches threats legacy systems miss, while collaborating with Engineering and Threat Intelligence to shape the product roadmap.

Qualifications

• 3+ years of experience as a Sales Engineer, Solutions Architect, or Technical Account Manager in Cybersecurity (Email Security, Cloud Security, SIEM/SOAR, or Identity Management preferred).
• AI & ML Fluency: Strong conceptual and technical understanding of modern AI architectures, NLP, agentic systems, and how ML models detect anomalous payload-less attacks.
• Hands-on API & Cloud Technical Skills: REST APIs, cloud email infrastructure (Microsoft 365, Google Workspace), and basic scripting/querying to inspect log data and troubleshoot API integrations.
• Data-Driven Storytelling: Demonstrated ability to translate raw threat detection analytics into executive-level risk assessments for CISOs and security stakeholders.
• Fast-Paced Startup Mentality: Thrives in a rapidly scaling Series A environment with flexibility, ownership, and direct collaboration with engineering.

Responsibilities

• Architect Enterprise AI Security Solutions: Partner closely with Enterprise Account Executives to design, present, and position AegisAI’s platform to CISOs, Security Architects, and SecOps leaders.
• Drive API-First Onboarding & PoCs: Guide prospective clients through seamless, read-only API deployments—enabling enterprise customers to connect AegisAI in under 5 minutes without MX record changes or downtime.
• Analyze & Deliver Threat Reports: Parse raw detection data, benchmark AegisAI against legacy SEGs, and present compelling threat audits to prospects, demonstrating zero-day threats, BEC, and impersonation attempts caught.
• Master Agentic AI & AI Risk: Deeply understand our Agentic AI detection models, AI Red Teaming agents, and Shadow AI/SaaS discovery capabilities to clearly articulate how our models operate compared to basic machine learning or rule-based engines.
• Customer-to-Product Feedback Loop: Work directly with our Engineering, Threat Intelligence, and Product teams to translate customer feedback, API feature requests, and edge cases into our product roadmap.

Skills

Cybersecurity

AI/ML

REST APIs

Cloud platforms

Executive storytelling

Tools

Microsoft 365

Google Workspace

Scripting

APIs

Job description

AegisAI is seeking a Customer Engineer to blend deep AI fluency with hands-on architectural skills and customer-facing agility. You will drive enterprise evaluations, guide API-first installations, and architect custom security integrations for prospective customers.

You’ll bridge Agentic AI models with SecOps needs, showing how our protection catches threats legacy systems miss, while collaborating with Engineering and Threat Intelligence to shape the product roadmap.