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Njaoc Cloud Architect Ai Model New

  • Job type Posted on: Jul 23, 2026
  • Experience level Software Technology Inc
  • Employment type Mercer County, New Jersey
  • Employment type Onsite
  • Salary Full-time
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Job Title :

Njaoc Cloud Architect Ai Model New

Job Type :

Full-time

Job Location :

Mercer County New Jersey United States

Remote :

No

Jobcon Logo Job Description :

Cloud Architect who possesses both advanced cloud engineering skills and hands-on experience supporting, configuring, and optimizing AI models and tools.

Note: Role will be Remote


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.


Required/Desired Skills
SkillRequired /DesiredAmountof Experience
Hands on experience creating and managing AWS IAM users, roles, policies, and permission setsRequired3Years
Deep understanding of Cloud Governance frameworksRequired3Years
Experience working within AWS environments, including services tied to governance and IAM such as S3, CloudTrail, CloudWatch, ECR, and Bedrock. Required3Years
AI/ML experience with cloud-native services and IAM impacts on model access and security.Required3Years
Ability to assess and implement access control models, refine roles, review trust policies, and improve permission sets across technical teams. Required3Years
Experience partnering with cloud governance, security, and technical teams to design, review, and enhance identity workflows.Required3Years
Strong documentation and communication skills. Required3Years

Questions
No.Question
Question1Absences greater than two weeks MUST be approved by CAI management in advance, and contact information must be provided to CAI so that the resource can be reached during his or her absence. The Client has the right to dismiss the resource if he or she does not return to work by the agreed upon date. Do you accept this requirement?
Question2Please list candidate's email address.
Question3Do you agree to the maximum hourly Vendor Rate of $$$ (excluding the Efficiency Fee)?
Question4Where is the candidate currently geographically located?

People Also Search For

Jobcon Logo Position Details

Posted:

Jul 23, 2026

Reference Number:

40824-5507

Employment:

Full-time

Salary:

Not Available

City:

Mercer County

Job Origin:

CIEPAL_ORGANIC_FEED

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Cloud Architect who possesses both advanced cloud engineering skills and hands-on experience supporting, configuring, and optimizing AI models and tools.

Note: Role will be Remote


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.


Required/Desired Skills
SkillRequired /DesiredAmountof Experience
Hands on experience creating and managing AWS IAM users, roles, policies, and permission setsRequired3Years
Deep understanding of Cloud Governance frameworksRequired3Years
Experience working within AWS environments, including services tied to governance and IAM such as S3, CloudTrail, CloudWatch, ECR, and Bedrock. Required3Years
AI/ML experience with cloud-native services and IAM impacts on model access and security.Required3Years
Ability to assess and implement access control models, refine roles, review trust policies, and improve permission sets across technical teams. Required3Years
Experience partnering with cloud governance, security, and technical teams to design, review, and enhance identity workflows.Required3Years
Strong documentation and communication skills. Required3Years

Questions
No.Question
Question1Absences greater than two weeks MUST be approved by CAI management in advance, and contact information must be provided to CAI so that the resource can be reached during his or her absence. The Client has the right to dismiss the resource if he or she does not return to work by the agreed upon date. Do you accept this requirement?
Question2Please list candidate's email address.
Question3Do you agree to the maximum hourly Vendor Rate of $$$ (excluding the Efficiency Fee)?
Question4Where is the candidate currently geographically located?

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