Senior AI Security Engineer for LLM & Cloud

Siri InfoSolutions, Inc.; Irving (TX); On-site; USD 150,000 - 230,000; Full time

Job summary

Siri InfoSolutions, Inc. seeks an experienced security professional to lead AI security initiatives, including securing LLM-based applications, RAG systems, and agentic workflows. The role requires deep knowledge of adversarial ML, cloud security, and telemetry-driven detections.

Strong Python skills and cloud platform proficiency are essential. Advanced degrees and AI certifications are highly valued for this leadership track.

Qualifications

• 15 years of experience in Information Security, with 5+ years in security engineering, application security, cloud security, or detection engineering if there is no degree.
• At least 3 years of experience in AI Security.
• Experience securing LLM-based applications, RAG systems, or agentic workflows.
• Familiarity with adversarial ML concepts such as prompt injection, model inversion, and model extraction.
• Hands-on experience with one or more programming languages, Python preferred.
• Strong understanding of AI/ML, API security, identity, secrets management, and cloud controls.
• Bachelor’s degree in Cybersecurity, AI, CS or related highly technical field.
• Master’s degree in Cybersecurity, AI, CS or related highly technical field.
• AI/ML certifications (e.g., Azure AI Engineer, AWS ML Specialty, GIAC Machine Learning Engineer, ISC2 Building AI Strategy).
• Experience with security telemetry and detections in SIEM or EDR platforms.

Skills

AI Security

Security Engineering

Cloud Security

Detection Engineering

Adversarial ML

LLM Security

Python

Kubernetes

Container Security

SIEM/EDR

API Security

Identity & Secrets

Education

Bachelor’s degree in Cybersecurity/AI/CS

Master’s degree in Cybersecurity/AI/CS

Tools

AWS

Azure

GCP

Kubernetes

Job description

Siri InfoSolutions, Inc. seeks an experienced security professional to lead AI security initiatives, including securing LLM-based applications, RAG systems, and agentic workflows. The role requires deep knowledge of adversarial ML, cloud security, and telemetry-driven detections.

Strong Python skills and cloud platform proficiency are essential. Advanced degrees and AI certifications are highly valued for this leadership track.