Senior AI Security Architect & MLSecOps Leader

o9 Solutions, Inc.; Dallas (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

o9 Solutions, Inc. is seeking a Senior AI Security & MLSecOps Architect to lead the next generation of AI-native security at the company.

You will secure GenAI/agentic AI ecosystems and build ML-driven security capabilities across 500+ customer environments. This role spans AI security architecture, MLSecOps, cloud security, detection engineering, and autonomous security operations, and requires deep expertise in security governance and MLOps.

Qualifications

• 10+ years of experience in cybersecurity engineering, software engineering, security architecture, or security data science.
• 3+ years hands-on in AI Security, MLSecOps, or production ML security use cases.
• Strong understanding of GenAI/LLM security, AI agents, RAG, prompt injection, model risk, and AI governance.

Responsibilities

• Define security architecture for GenAI, LLMs, AI agents, RAG pipelines, and MCP integrations.
• Implement agent identity, authorization, permission scoping, behavioral monitoring, and automated containment.
• Establish AI model/SBOM governance, model provenance, dependency security, and supply-chain controls.
• Design controls for prompt injection, data leakage, tenant isolation, PII protection, and AI-specific threats.
• Align AI security practices with NIST AI RMF, MITRE ATLAS, OWASP LLM Top 10, ISO 42001, and ISO 27001.
• Build ML-driven threat detection, anomaly detection, identity risk scoring, and predictive security capabilities.
• Architect autonomous security agents for threat hunting, vulnerability management, configuration auditing, and incident response.
• Integrate LLMs into SOAR, security triage, investigation, and response workflows.
• Use security telemetry to identify emerging attack patterns and improve detection accuracy.
• Design scalable security telemetry pipelines across EDR, SIEM, SOAR, WAF/ZTNA, PAM, cloud, and DevOps environments.
• Develop cross-platform detection and correlation capabilities.
• Embed security and observability requirements into CI/CD through DevSecOps and policy-as-code.
• Secure large-scale AWS, Azure, and GCP environments, including Kubernetes and multi-tenant SaaS architectures.
• Serve as the technical authority for AI Security and MLSecOps.

Skills

Cybersecurity

Security architecture

ML security

Python

Cloud security

Kubernetes

DevSecOps

AI security frameworks

Education

Bachelor's in CS/SE/Cybersecurity

Master's preferred

Security certs a plus

Tools

LangChain

LangGraph

CrewAI

Job description

o9 Solutions, Inc. is seeking a Senior AI Security & MLSecOps Architect to lead the next generation of AI-native security at the company.

You will secure GenAI/agentic AI ecosystems and build ML-driven security capabilities across 500+ customer environments. This role spans AI security architecture, MLSecOps, cloud security, detection engineering, and autonomous security operations, and requires deep expertise in security governance and MLOps.