AI Security Architect- Dallas onsite
Tasks
- Architect logging and monitoring standards for AI agents
- Automate Incident Response Playbooks
- Build audit pipelines for agent actions
- Conduct AI ML threat modeling and translate to remediation
- Define AI security architecture
- Define detection use cases and monitoring standards
- Define secure by design reference architectures
- Design AI SOC workflows for alert triage
- Design AI security tooling and policy as code
- Design RBAC and least privilege for AI agents
- Design and deploy model integrity governance controls
- Design guardrails and sandboxing for agents
- Enable adversarial testing and red teaming
- Implement AI security controls
- Implement prompt injection and adversarial attack defenses
- Implement provenance attestation signing and approval workflows
- Map AI controls to NIST AI RMF and OWASP LLM security
- Monitor model drift and integrity
- Own AI security decisions for identity secrets data protection and network controls
- Provide technical mentorship and architecture guidance
- Run security design reviews and document risk exceptions
Perks/Benefits
- N/A
Skills/Tech-stack
ABAC | AI RMF | Adversarial Attacks | Attestation | DLP | Data poisoning | Drift monitoring | GDPR | Incident Response | LLM security | Least Privilege | Logging | MLOps | Metrics | Model Drift | Model Integrity | Model drift monitoring | Model extraction | Monitoring | NIST AI | NIST AI RMF | OWASP Top | OWASP Top 10 | OWASP Top 10 for LLMs | Policy-as-Code | Prompt injection | Prompt injection mitigation | Provenance | RBAC | Red Teaming | SOC Monitoring | Signing | Telemetry | Threat modeling | Vulnerability Management | “as-code”
Education
N/A
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