Cloud Architect- AI Model

Delan Associates, Inc.; United States; On-site; USD 140,000 - 210,000; Full time

Job summary

Delan Associates, Inc. is seeking a Cloud Architect with hands-on AI experience to design and optimize AI-ready cloud environments, including high-performance compute, GPU clusters, containers, and distributed storage.

This fully remote role emphasizes secure integration of AI tools and robust governance. You will deploy and manage AI models, ensure lifecycle reliability, enforce security policies, and optimize costs while enabling ongoing innovation and rapid technology adoption across the

Qualifications

• Hands-on experience creating and managing AWS IAM users, roles, policies, and permission sets.
• Deep understanding of cloud governance frameworks.
• Experience with AWS enterprise environments, including S3, CloudTrail, CloudWatch, ECR.
• Practical AI/ML experience with cloud-native AI services (AWS Bedrock or similar).
• Ability to evaluate access control models and refine roles and permissions across teams.
• Experience collaborating with governance, security, and IT to design identity workflows.
• Strong documentation and communication skills for governance procedures.

Responsibilities

• Design and optimization of AI-ready cloud environments with high-performance compute, GPU clusters, containers, and storage.
• Integrate AI tools into existing systems, connecting models, APIs, and data sources securely.
• Support model deployment, monitoring, versioning, and scaling in production.
• Enforce governance, security, and compliance with guardrails and policies.
• Drive cost management and automation to optimize expenses in AI workloads.
• Support innovation initiatives by piloting new tech and evaluating vendor solutions.

Skills

AWS IAM

Cloud Governance

AWS Enterprise Environments

AI/ML Experience

Security & Compliance Awareness

Tools

S3

CloudTrail

CloudWatch

ECR

Bedrock

Job description

Job Description

Job 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. FULLY REMOTE, INTERVIEW VIA TEAMS 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: As AI tools become embedded across business processes, we need expertise in securely connecting models, APIs, vector databases, and pipelines to our existing applications and data sources. Support for model deployment and lifecycle management: Effective use of AI requires more than just model development. We need an expert who can manage deployment, monitoring, versioning, and scaling to ensure models operate reliably and safely in production environments. Governance, security, and compliance: AI systems introduce new risks related to data handling, model outputs, and access control. A Cloud Architect with AI expertise can implement guardrails, enforce cloud security policies, and ensure alignment with organizational, legal, and ethical standards. Cost management and operational efficiency: AI workloads can incur significant compute and storage costs if not properly architected. An experienced professional can implement automation, workload right sizing, and optimization strategies to reduce expenses. Support for innovation initiatives: As AI tools continue to evolve, this role will allow the organization to pilot new technologies, evaluate vendor solutions, and rapidly implement new capabilities without compromising security or stability.

Requirements

• 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.

Originally posted on Himalayas