Cloud Architect

Dew Softech Inc

Trenton, NJ, United States

7 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Compensation

$166,400.0 - $187,200.0

Working hours

Shift work

Job source

www.juju.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Amazon S3 Audit Trail Cloud Computing Cloud Computing Security Cloud Engineering Computer Clusters System Configuration Data Security Distributed Data Store

+10 more

Identity and Access Management Machine Learning Management of Software Versions Data Processing High Performance Computing AI Platforms Kubernetes Machine Learning Operations Cloudwatch Serverless Computing

Job description

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., * 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