Cloud Infrastructure Architect – AI/ML Security Governance

Location: Remote (New York,USA)
Job Type: Full-Time

Job Description

We are seeking a Cloud Infrastructure Architect – AI/ML Security Governance to establish AI/ML governance guardrails that enable secure deployment of GenAI workloads across Client''s AWS environment. This role is responsible for defining security controls for Bedrock, SageMaker, and other AI services, ensuring model access patterns comply with data classification and regulatory requirements.

Responsibilities

• Design and implement AI/ML governance guardrails for Bedrock, SageMaker, and AI services.
• Establish access control patterns for foundation model invocation and fine-tuning.
• Implement data classification controls for AI training data and model outputs.
• Define and enforce responsible AI policies, including input/output filtering and prompt injection mitigation.
• Build monitoring and audit logging for AI service interactions.
• Create permission models that enable AI experimentation while maintaining production security.
• Develop AI security playbooks and incident response procedures for model-related risks.
• Coordinate with AI/ML teams to ensure guardrails enable rather than block adoption.

Required Skills:

• AWS AI/ML services security, including Bedrock, SageMaker, and Comprehend.
• Bedrock Guardrails configuration and management.
• Data classification and PII protection in AI pipelines.
• Model Risk Management frameworks, including SR 11-7.
• IAM policies for AI service access, including model invocation, fine-tuning, and deployment.
• Prompt injection mitigation and output filtering.
• Audit logging and compliance evidence collection for AI workloads.
• Financial services AI governance and regulatory requirements.