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Dutech Systems Logo Dutech Systems · IT - Software Development

Enterprise Cloud & AI Solutions Architect

United States, Austin · Job Posted March 05, 2026
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Job Description

We are seeking a highly experienced Senior Cloud & AI/ML Solutions Architect to design and implement scalable enterprise application solutions across multi-cloud environments (AWS, Azure, and GCP). The ideal candidate will have extensive experience architecting cloud-native applications, AI/ML solutions, and enterprise-scale infrastructure across both on-premises and cloud platforms.

Job Responsibility

  • Architect and design enterprise-level application solutions across on-premises and multi-cloud environments (AWS, Azure, GCP)
  • Develop cloud-native architectures leveraging modern cloud services and best practices
  • Design solutions utilizing IaaS, PaaS, and SaaS service models
  • Lead architecture for Machine Learning, Artificial Intelligence, and Deep Learning solutions using leading cloud technologies
  • Collaborate with engineering teams to build scalable, secure, and high-performing cloud applications
  • Design and implement microservices, serverless architectures, and container-based solutions
  • Ensure adherence to cloud security frameworks, encryption standards, IAM, and compliance requirements such as GDPR and HIPAA
  • Implement CI/CD pipelines, containerization (Docker, Kubernetes), and Infrastructure as Code (Terraform, CloudFormation)
  • Design and manage API architectures

Requirements

  • 10+ years of experience architecting enterprise application solutions across on-premises and cloud infrastructure
  • 10+ years of experience designing solutions using cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP)
  • 8+ years of experience developing cloud-native application architectures
  • 8+ years of experience architecting solutions using IaaS, PaaS, and SaaS service models
  • 8+ years of experience working with Machine Learning, Artificial Intelligence, and Deep Learning solutions using cloud technologies

Nice to have

  • Strong knowledge of cloud networking, including virtual networks, VPNs, DNS, load balancers, and firewalls
  • Understanding of cloud security frameworks, encryption, identity and access management (IAM), and compliance standards such as GDPR and HIPAA
  • Experience with CI/CD pipelines, Docker, Kubernetes, and Infrastructure as Code tools (Terraform, CloudFormation)
  • Knowledge of API development and management, including RESTful and SOAP APIs
  • Experience with microservices and serverless architectures
  • Experience with cloud-based AI/ML services, including: Azure Machine Learning
  • Azure Cognitive Services
  • AWS SageMaker
  • AWS Redshift, EC2, Kinesis, EMR
  • Google Cloud Vertex AI and Agent Builder
  • AWS Certified Solutions Architect
  • Azure Solutions Architect Expert
  • Google Professional Cloud Architect
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