Hybrid C2C Role – Fort Worth, TX | AI Security Architect With Cybersecurity

Job Title:

AI Security Architect (Agent Security, Observability, SOC Monitoring & Compliance Enablement)

Duration : 5 months

Location : 6201 South Freeway, Fort Worth, TX 76134

We are seeking an experienced and highly skilledAI Security hands-on, highly technical architect responsible for defining security architecture and implementing robust security controls for ourAI/ML systems and their underlying platform sand will serve as the team’stechnical mentor and architecture authority, driving secure-by-design patterns across the AI/ML lifecycle (data, training, evaluation, deployment, and production monitoring) and proactively mitigating AI-specific threats such asmodel integrity risks, data poisoning, adversarial attacks, prompt injection, model extraction, and inference-time abuse.

Lead technically, set standards, and guide engineers day-to-day through architecture, reviews, and delivery.

Ensures AI systems are secure, compliant, and resilient by implementing data protection, threat detection, guardrails, and ongoing risk monitoring across the AI lifecycle.

• AI Platform Admin (M365, copilot Studio) Manages AI platforms and environments, including access provisioning, governance controls, and policy enforcement (e.g., DLP, security, and compliance).
• AI Reusable Utility Develops reusable components (e.g., prompts, connectors, APIs, templates) to accelerate AI solution delivery and promote standardization across use cases.
• AI Common Infrastructure, Framework & Observability Architect (AWS and Azure) Designs and maintains the foundational AI infrastructure, frameworks, and observability capabilities (telemetry, monitoring, metrics) required for scalable, reliable, and governed AI operations.

• Non-Human Identity & Access:
  
  Define strict Role-Based Access Control (RBAC) and least-privilege models for AI agents using identity systems (e.g., Entra Agent ).
• Guardrails & Sandboxing:
  
  Design runtime environments with restricted permissions to prevent manipulated agents from accessing unauthorized APIs, data sources, or executing malicious tool chains.
• Input/Output Protection:
  
  Implement defenses against adversarial attacks, prompt injections, jail breaking, and sensitive data leakage (DLP) across agent workflows.

• Decision Traceability:
  
  Architect logging and monitoring standards to map how reasoning agents use data and call APIs, eliminating “black box” decisions.
• Model Drift & Integrity:
  
  Monitor models and prompt templates in production to detect behavioral drift, anomalies, and poisoning or evasion attacks.

• Autonomous Security (AI SOC):
  
  Design LLM-driven and agentic workflows to improve alert triage, contextual correlation, false-positive filtering, and playbook automation.
• Incident Response Playbooks:
  
  Establish remediation strategies and threat-hunting procedures for AI-specific events (e.g., compromised model artifacts, hallucination-driven exploits).

• Regulatory Alignment:
  
  Map AI-specific controls to established standards like the NIST AI RMF, OWASP Top 10 for LLMs, and GDPR.
• Audit Readiness:
  
  Build audit pipelines that track and explain everything an agent does to satisfy ongoing AI regulatory compliance and governance requirements.

• Define and maintainAI security reference architectures for multiple AI deployment patterns, includingMCP / Agentic AIand LLM application stacks (RAG, tools/plugins, agents, orchestration).
• Establish and evolvesecurity requirements, patterns, and guardrailsacross the AI/ML SDLC (design → build → run), including secure pipelines and platform controls.
• Own AI security architecture decisions across critical domains:identity, secrets, data protection, network controls, tenancy boundaries, logging/telemetry, and isolationfor training/inference.

• Design and deploy controls to ensuremodel integrity and governance, includingRBAC/ABACfor models, feature stores, data sets, registries, and evaluation artifacts.
• Build/enable technical mechanisms forprovenance, attestation, signing, and…