Cloud Security Architect (AI)

TechDigital Group; California (MO); Hybrid; USD 100,000 - 130,000; Full time

Job summary

TechDigital Group seeks an AI Security Engineer in California to support the Enterprise AI Security Program. This role involves defining and validating security controls and solutions to protect AI and data across the enterprise.

Ideally, candidates will have a strong security and engineering background, with experience in AI security principles and deployment in cloud ecosystems like AWS and Databricks. The position emphasizes secure AI systems and compliance with governance requirements.

Qualifications

• Strong security and engineering background combined with AI/LLM development knowledge.
• Deep knowledge of AI security principles and practices.

Responsibilities

• Provide AI Security Engineering and Architecture services.
• Define, implement, and validate security controls for AI and data.
• Establish secure-by-design principles for AI systems.

Skills

Deployment/integration experience in the cloud

Familiarity with deploying and securing AI pipelines

Understanding of AI governance and regulatory requirements

Job description

Top Skills Required

• Deployment/integration experience in the cloud
• Familiarity with deploying and securing AI pipelines across cloud ecosystems (e.g., Databricks, AI Gateway)
• Understanding of AI governance and regulatory requirements (GDPR, EU AI Act, …)

Job Description / Responsibilities

The scope of this work is to provide AI Security Engineering and Architecture services to support the Enterprise AI Security Program. The role will serve as a hands-on technical contributor responsible for defining, implementing, and validating security controls and solutions that protect AI and data development, deployment, and usage across the enterprise. The AI Security Team is responsible for establishing secure-by-design principles for AI and Agentic AI systems, ensuring appropriate controls, governance, monitoring, and regulatory alignment across platforms such as ChatGPT Enterprise, AWS Bedrock, Databricks, and other enterprise AI services.

This role requires a strong security and engineering background combined with AI/LLM development and deployment knowledge, preferably with deep knowledge of AI security principles. The focus will include evaluating AI protection and AI-SPM solutions, deployment and integration with enterprise cloud ecosystem, and enforcing and configuring centralized security policies.