Azure AI Security Architect: Safe ML & AI Systems

Cyberjobs; Long Beach (CA); Remote; USD 180,000 - 240,000; Full time

Job summary

Molina Healthcare seeks a seasoned Security Architect to define and maintain a secure AI/ML architecture framework. You will collaborate with AI/ML teams across platforms like Azure and Databricks, implement reusable security patterns, and validate controls throughout the lifecycle.

Responsibilities include threat modeling, agentic AI security, and integration security while guiding engineering teams and aligning security with enterprise goals. Strong communication and leadership are essential.

Qualifications

• 5+ years in a senior cybersecurity role.
• Proven experience securing AI/ML workloads in Azure and Databricks.
• Translate AI threat models into reusable security patterns and requirements.
• Deep understanding of AI/ML lifecycle and MLOps security.
• Strong cloud security controls knowledge in a cloud-native env.

Responsibilities

• Design secure AI/ML architectures on Azure/Databricks.
• Define AI model security requirements and evaluation processes.
• Conduct AI/ML threat modeling and risk assessments.
• Lead security for autonomous AI agents and guard against prompt injection.
• Define trust boundaries and access controls for AI integrations.
• Embed automated security controls into the ML lifecycle.
• Publish security guidance and reference architectures.
• Advise on AI capabilities alignment with business goals.
• Collaborate with governance, privacy, and technology teams.
• Evaluate enterprise AI platforms against security requirements.

Skills

Python programming

Communication skills

Threat modeling

Team leadership

Cloud security

AI/ML security

Education

CISSP

CCSP

Azure Security Engineer Associate/Expert

Tools

Databricks

Model Context Protocol (MCP)

Python

Job description

Molina Healthcare seeks a seasoned Security Architect to define and maintain a secure AI/ML architecture framework. You will collaborate with AI/ML teams across platforms like Azure and Databricks, implement reusable security patterns, and validate controls throughout the lifecycle.

Responsibilities include threat modeling, agentic AI security, and integration security while guiding engineering teams and aligning security with enterprise goals. Strong communication and leadership are essential.