Cloud Infrastructure Architect – AI/ML Security Governance

Remote • Posted 11 hours ago • Updated 11 hours ago
Full Time
No Travel Required
Remote
$150,000 - $170,000/yr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • AWS AI/ML Security
  • Amazon Bedrock
  • Amazon SageMaker
  • Amazon Comprehend
  • Bedrock Guardrails
  • AWS IAM
  • IAM Policies
  • Foundation Model Access Control
  • Model Invocation
  • Fine-Tuning Security
  • AI/ML Governance
  • AI Security Governance
  • Data Classification
  • PII Protection
  • AI Training Data Security
  • Model Output Security
  • Responsible AI
  • Prompt Injection Mitigation
  • Input/Output Filtering
  • Audit Logging
  • Monitoring
  • Compliance Evidence Collection
  • Model Risk Management
  • SR 11-7
  • Financial Services AI Governance
  • AI Security Playbooks
  • AI Incident Response

Summary

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: PTPUNWvvNgExn9v
  • Position Id: 9060904
  • Posted 11 hours ago
Contact the job poster
RY

Raja Yanagandula

Recruiter @ ALTCloud.ai
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