Cloud Architect- AI Model

Role Description

The New Jersey Judicial department is searching for a Cloud Architect who possesses both advanced cloud engineering skills and hands-on experience supporting, configuring, and optimizing AI models and tools.

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A Cloud Architect with AI experience will provide the following value:

• Design and optimization of AI-ready cloud environments:
  • Modern AI workloads require specialized architectures, including high performance compute, GPU clusters, container orchestration, and distributed storage.
  • An experienced architect ensures these environments are properly designed, cost efficient, and aligned with best practices.
• Integration of AI tools into existing systems:
  • Expertise in securely connecting models, APIs, vector databases, and pipelines to existing applications and data sources.
• Support for model deployment and lifecycle management:
  • Manage deployment, monitoring, versioning, and scaling to ensure models operate reliably and safely in production environments.
• Governance, security, and compliance:
  • Implement guardrails, enforce cloud security policies, and ensure alignment with organizational, legal, and ethical standards.
• Cost management and operational efficiency:
  • Implement automation, workload right sizing, and optimization strategies to reduce expenses.
• Support for innovation initiatives:
  • Pilot new technologies, evaluate vendor solutions, and rapidly implement new capabilities without compromising security or stability.

Qualifications

• Hands on experience creating and managing AWS IAM users, roles, policies, and permission sets.
• Deep understanding of Cloud Governance frameworks.
• Experience working within AWS enterprise environments, including services commonly tied to governance and IAM such as S3, CloudTrail, CloudWatch, ECR, and Bedrock.
• Practical AI/ML experience, preferably with cloud-native AI services (AWS Bedrock or similar), including understanding how IAM permissions impact model access, data security, and sandbox experimentation.
• Ability to evaluate and implement access control models, including role refinement, trust policy review, and development or enhancement of permission sets used across technical teams.
• Experience collaborating with cloud governance, security, and technical services teams to design, review, and improve identity-related workflows and ensure adherence to organizational standards.
• Strong documentation and communication skills, demonstrated through writing governance procedures, IAM configuration guides, and technical recommendations for stakeholders across IT and management.