[Hiring] Cloud Infrastructure Architect - AI/ML Security Governance @Pyramid Consulting

Role 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).

Key Responsibilities:

• Establish 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.

Qualifications

• AI/ML Governance
• Bedrock
• 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

Requirements

• Skills in AI/ML Governance, Bedrock, and SageMaker.
• Experience with AWS AI/ML services security.
• Knowledge of Bedrock Guardrails configuration and management.
• Understanding of data classification and PII protection in AI pipelines.
• Familiarity with model risk management frameworks.
• Experience with IAM policies for AI service access.
• Skills in prompt injection mitigation and output filtering.
• Experience in audit logging and compliance evidence collection.
• Knowledge of financial services AI governance and regulatory requirements.

Benefits

• Pay Range: $160,000 - $180,000/annum.
• Employee benefits include health insurance (medical, dental, vision).
• 401(k) plan.
• Paid sick leave (depending on work location).