Job Title: AWS Cloud Infrastructure Architect – AI/ML Security Governance
Location: Remote
Duration: / Term: Fulltime
Experience Desired: 12+ Years
Job Description:
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 Client's 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 client's 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