Senior AI Security & MLSecOps Architect

o9 Solutions Management India Private Limited; United States; On-site; USD 190,000 - 270,000; Full time

Job summary

o9 Solutions is seeking a Senior AI Security & MLSecOps Architect to lead AI-native security for the GenAI platform and agentic AI ecosystem. You will own governance, threat detection, model risk management, and cross-system security for production AI agents and LLMs.

You will design UEBA-style agent security, SBOM pipelines, RAG security, and scalable telemetry across cloud and on-prem environments. Mentorship and security maturity drive for a fast-growing enterprise.

Qualifications

• 10+ Years in cybersecurity engineering, AI security, or security data science.
• 3+ Years AI Security / MLSecOps in production scale.
• AI Agent Engineering with autonomous agents and tool-use.
• Security Platform Depth: EDR, SIEM, SOAR, WAF/ZTNA, PAM at scale.
• Cloud & Kubernetes security across multi-tenant SaaS environments.

Responsibilities

• Own security architecture for GenAI platform with governance and auditable controls.
• Design agent identity controls, baselining, and containment for production agents.
• Architect SBOM/SBOM pipeline with model provenance and supply chain trust.
• Security for RAG pipelines: allowlisting, isolation, PII scrubbing and anomaly monitoring.
• Define security gates for cross-system integrations and token governance.
• Align AI security controls to ISO 42001, NIST AI RMF, MITRE ATLAS, and OWASP Top 10 for LLMs.
• Build ML models to convert telemetry into predictive defense.
• Develop autonomous security agents with end-to-end observability.

Skills

AI security

MLSecOps

Security architecture

Kubernetes

Cloud security

Python

Education

Bachelor’s in Computer Science or related

Master’s in CS, Data Science, AI, or Cybersecurity

Tools

LangChain

CrewAI

LangGraph

MLflow

Job description

o9 Solutions is seeking a Senior AI Security & MLSecOps Architect to lead AI-native security for the GenAI platform and agentic AI ecosystem. You will own governance, threat detection, model risk management, and cross-system security for production AI agents and LLMs.

You will design UEBA-style agent security, SBOM pipelines, RAG security, and scalable telemetry across cloud and on-prem environments. Mentorship and security maturity drive for a fast-growing enterprise.