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
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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
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