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AI Security Architect

Job

DTEL Engineering & Consultants Inc

Plano, TX (In Person)

Full-Time

Posted 4 days ago (Updated 1 day ago) • Actively hiring

Expires 7/13/2026

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Job Description

Key Responsibilities:
Design enterprise-grade security architectures for AI, GenAI, LLM, and Agentic AI platforms.
Build secure AI environments for:
LLM applications, multi-agent systems, Autonomous AI workflows, Agentic RAG architectures, Vector databases, and model serving platforms. Implement secure AI gateways and AI orchestration frameworks.
AI Threat Modeling:
Develop threat models covering the following threats: Prompt injection, Jailbreaking, Data exfiltration, Model theft, Agent compromise, Memory poisoning, Cross-tenant attacks, Insider threats, and AI-generated malicious content. Knowledge of
AI OWASP
top 10 threats and mitigation strategies and hands on experience with
MITRE ATLAS.
Design architectures that secure a multi-tenant AI environment: Tenant isolation, Data Protection (encryption and secrets management, secure token handling), AI Access Control (RBAC, ABAC, Context-aware, zero-trust)
RAG Security Architecture :
Data Leakage prevention, Vector database security (Namespace isolation, Tenant-specific embeddings), Retrieval Governance.
AI Gateway Security Architecture and Agent Security:
Incoming prompt inspection and protection, outgoing response data protection and compliance policies enforcement.
AI Guardrails Architecture:
Input Guardrails (Prompt sanitization, classification, and Injection detection), Retrieval Guardrails (access verification, data sensitivity checks) and Output Guardrails (Data leakage, Hallucination check, regulatory and compliance check). Define AI security governance - Establish AI security standards, conduct architecture reviews, define security patterns and reusable controls.
MCP & API
security experience is a plus. Experience 15+ years in cybersecurity architecture. 5+ years designing cloud-native security solutions (preferably Azure) . 3+ years securing AI/ML platforms. Experience with LLM security and hands on experience with
MITRE ATLAS
Experience with agentic AI architectures. Experience with AI governance and risk management.
Hands-on experience in securing:
LLMs based deployments/Applications/Servers and MCP-based ecosystems