Security Architect
First seen by Alion on Aug 24, 2026.
At o9 Solutions, our mission is to transform enterprise decision-making through an AI-first platform.
Global organizations including Google, PepsiCo, Walmart, T-Mobile, AB InBev, and Starbucks trust o9 to optimize their planning and supply chains.
About the Role :
We are looking for a Senior AI Security & MLSecOps Architect to lead the next generation of AI-native security at o9.
This role has two key missions :
- Secure o9's GenAI and agentic AI ecosystem against emerging AI-specific threats.
- Build AI/ML-driven security capabilities that improve threat detection, prediction, and automated response across 500+ customer environments.
You will work across AI security architecture, agent security, RAG security, MLSecOps, cloud security, detection engineering, and autonomous security operations.
What You'll Do :
AI Security & Governance :
- 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.
AI/ML for Security Operations :
- 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.
Security Platform & Cloud :
- 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.
Technical Leadership :
- Serve as the technical authority for AI Security and MLSecOps.
- Define architecture standards and security engineering best practices.
- Evaluate emerging AI security technologies and translate research into production capabilities.
- Mentor security and ML engineers across both disciplines.
What You'll Bring :
- 10+ years of experience in cybersecurity engineering, software engineering, security architecture, or security data science.
- 3+ years of hands-on experience 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.
- Experience with AI agent frameworks such as LangChain, LangGraph, CrewAI, or equivalent.
- Strong experience with enterprise security platforms such as EDR, SIEM, SOAR, WAF/ZTNA, or PAM.
- Deep cloud and Kubernetes security experience across AWS, Azure, and/or GCP.
- Strong Python experience for security automation, ML development, or data pipelines.
- Experience with ML frameworks such as scikit-learn, XGBoost, or PyTorch.
- Understanding of MITRE ATT&CK, MITRE ATLAS, OWASP LLM Top 10, NIST AI RMF, ISO 42001, and ISO 27001.
- Experience with MLOps/model lifecycle management is a plus.
- Strong architecture, communication, and technical leadership skills.
Education & Certifications :
- Bachelor's degree in Computer Science, Software Engineering, Cybersecurity, AI, or a related field.
- Master's degree is a plus.
- Cloud security, CISM, SANS, or other relevant security certifications are a plus.
Why o9?
o9 Solutions is a rapidly growing technology company with a global presence and a $3.7B valuation.
Our security organization protects 500+ customer environments across 60+ countries, with large-scale cloud, Kubernetes, and security infrastructure.
This is an opportunity to define how AI security is built and operated at enterprise scale, rather than simply maintaining existing security controls.
Skills
Security, Security Architect, NIST, Security Operations Center, SOAR, Endpoint Detection & Response, SIEM, WAF, CISM, Security Architect - AI