AWS Cloud Infrastructure Architect – AI/ML Security Governance

Job Title: AWS Cloud Infrastructure Architect – AI/ML Security Governance

Location: Remote

Duration: / Term: Fulltime

Experience Desired: 12+ Years

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This role establishes AI/ML governance guardrails that enable secure deployment of GenAI workloads across Client’s AWS environment. Responsible for defining security controls for Bedrock, SageMaker, and other AI services, ensuring model access patterns comply with Clients data classification and regulatory requirements.

Resposnibilities:

• 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 (input/output filtering, 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 clients AI/ML teams to ensure guardrails enable rather than block adoption

Skills

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

Key Skills:

Cloud Infrastructure, AI/ML, AWS, Bedrock, Sagemaker, AI Security