Enterprise Cloud & AI Solutions Architect NEW
Dutech Systems Inc., Austin, TX, United States
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 .
Key Responsibilities
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
Required Qualifications
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.
Preferred Qualifications
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
Preferred
AWS Certified Solutions Architect
Azure Solutions Architect Expert
Google Professional Cloud Architect