Cloud Architect

Dew Softech, Inc; Trenton (NJ); On-site; USD 120,000 - 170,000; Part time

Benefits offered by this job

Work from home

Flexible schedule

Job summary

Dew Softech, Inc in Trenton, NJ seeks a Cloud Architect with AI experience for a contract role. The candidate will design and optimize AI-ready cloud environments, integrate AI tools, and manage deployment lifecycles while ensuring governance, security and cost efficiency.

The role requires hands-on AWS IAM, cloud governance, and experience with AI services like AWS Bedrock, with strong documentation and collaboration across IT teams.

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 services tied to governance and IAM such as S3, CloudTrail, CloudWatch, ECR, and Bedrock.
• AI/ML experience with cloud-native services and IAM impacts on model access and security.
• Ability to assess and implement access control models, refine roles, review trust policies, and improve permission sets across technical teams.
• Experience partnering with cloud governance, security, and technical teams to design, review, and enhance identity workflows.
• Strong documentation and communication skills.

Responsibilities

• Design and optimization of AI-ready cloud environments: including high performance compute, GPU clusters, containers, and distributed storage.
• Integration of AI tools into existing systems with secure connections to models, APIs, vector databases, and data sources.
• Support for model deployment and lifecycle management including deployment, monitoring, versioning, and scaling.
• Governance, security, and compliance: implement guardrails and cloud security policies aligned with standards.
• Cost management and operational efficiency: automate, right-size workloads, and optimize expenses.
• Support for innovation initiatives: pilot new technologies and evaluate vendor solutions without compromising security.

Skills

AWS IAM

Cloud Governance

AWS Bedrock

Policy refinement

Security & access control

Technical collaboration

Documentation

Tools

AWS

Bedrock

Job description

Cloud Architect with AI experience

Location: Trenton, NJ

Position Type: Contract

In Person interview Only

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

• Hands on experience creating and managing AWS IAM users, roles, policies, and permission sets Required 3 Years
• Deep understanding of Cloud Governance frameworks Required 3 Years
• Experience working within AWS environments, including services tied to governance and IAM such as S3, CloudTrail, CloudWatch, ECR, and Bedrock. Required 3 Years
• AI/ML experience with cloud-native services and IAM impacts on model access and security. Required 3 Years
• Ability to assess and implement access control models, refine roles, review trust policies, and improve permission sets across technical teams. Required 3 Years
• Experience partnering with cloud governance, security, and technical teams to design, review, and enhance identity workflows. Required 3 Years
• Strong documentation and communication skills. Required 3 Years
• Global Candidate Requirements

Flexible work from home options available.