Cloud Infrastructure Architect - AI/ML Security Governance

Job Description

Job Description

Immediate need for a talented Cloud Infrastructure Architect - AI/ML Security Governance . This is a Fulltime opportunity with long-term potential and is located in U.S(Remote) . Please review the job description below and contact me ASAP if you are interested.

Job ID:26-25070

Pay Range: $160000 - $180000/annum.  Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).

 
Key Responsibilities:

• This role establishes AI/ML governance guardrails that enable secure deployment of GenAI workloads across Customer AWS environment. 
• Responsible for defining security controls for Bedrock, SageMaker, and other AI services, ensuring model access patterns comply with Customer data classification and regulatory requirements.
• Activities
• 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 Customer AI/ML teams to ensure guardrails enable rather than block adoption

Key Requirements and Technology Experience:

• Skills- AI/ML Governance” AND Bedrock AND SageMaker
• 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

Our client is a leading IT Industry and we are currently interviewing to fill this and other similar fulltime positions. If you are interested in this position, please apply online for immediate consideration.

 
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