AI Governance & Security Architect (Hybrid, W2)

The Planet Group; Dallas (TX); Hybrid; USD 103,000 - 110,000; Full time

Job summary

The Planet Group is seeking an Agentic AI Consultant to lead governance, security, and HITL safeguards for autonomous AI agents. You will bridge AI engineering with enterprise risk management, ensuring secure, explainable workflows.

Hybrid onsite in Irving, TX, full-time, W2, rate $75-$80 per hour. Responsibilities include risk frameworks, threat models, audit logging, and guiding LangChain/Azure Databricks integration for enterprise deployments.

Qualifications

• 5+ years in technology consulting, AI/data engineering, or cloud security architecture.
• Hands-on expertise with autonomous agent patterns, multi-agent orchestration, and HITL frameworks.
• Strong Python proficiency for reviewing agentic code, pipelines, and API integrations.
• Experience in Azure & Databricks ecosystems (Azure OpenAI, Key Vault, Unity Catalog, MLflow).
• Familiarity with OWASP Top 10 for LLMs and AI risk/privacy standards.
• Based in or willing to work hybrid onsite in Irving, TX.

Responsibilities

• AI Governance & Security: build risk frameworks, threat models, and guardrails.
• HITL & Workflow Design: enable decision gates, approvals, and audit logging.
• Architecture & Cloud Integration: advise on scaling agentic frameworks with Python and Azure Databricks.
• Executive Advisory: translate AI safety concepts for executives and security leaders.

Skills

Python

AI governance

Cloud security

Azure Databricks

OWASP LLMs

Tools

LangChain

AutoGen

CrewAI

Semantic Kernel

Azure OpenAI

Job description

The Planet Group is seeking an Agentic AI Consultant to lead governance, security, and HITL safeguards for autonomous AI agents. You will bridge AI engineering with enterprise risk management, ensuring secure, explainable workflows.

Hybrid onsite in Irving, TX, full-time, W2, rate $75-$80 per hour. Responsibilities include risk frameworks, threat models, audit logging, and guiding LangChain/Azure Databricks integration for enterprise deployments.