drjobs Cloud Architect – AI/ML and Enterprise Systems

Cloud Architect – AI/ML and Enterprise Systems

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1 Vacancy
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Job Location drjobs

Austin - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Job Title: Cloud Architect AI/ML and Enterprise Systems

Location: Austin Texas(Hybrid-Local to Austin only)

We are currently seeking candidates who meet the following qualification

Required Qualifications:
  • Proven experience architecting enterprise application solutions across on-premises and cloud infrastructure.
  • Expertise in architecting solutions using one or more of the following cloud platforms: Google Cloud Platform (GCP) Microsoft Azure and Amazon Web Services (AWS).
  • Strong background in developing cloud-native application architectures across leading cloud platforms.
  • Experience architecting solutions that utilize fit-for-purpose service models such as Infrastructure as a Service (IaaS) Platform as a Service (PaaS) and Software as a Service (SaaS).
  • In-depth experience in all phases of Machine Learning Artificial Intelligence and Deep Learning solutions using Azure AWS or Google technologies.
Preferred Qualifications:
  • Strong understanding of virtual networks VPNs DNS load balancers and firewalls.
  • Familiarity with cloud security frameworks encryption identity and access management (IAM) and compliance standards such as GDPR HIPAA etc.
  • Experience working with CI/CD pipelines containerization tools such as Docker and Kubernetes and infrastructure as code (IaC) tools like Terraform or AWS CloudFormation.
  • Knowledge of API design development and management including RESTful and SOAP APIs.
  • Understanding of microservices serverless architectures and cloud-native application development.
  • Excellent verbal and written communication skills with the ability to effectively communicate cloud strategies and solutions to stakeholders.
  • Experience with cloud-based AI/ML services such as:
    • Azure: Azure Machine Learning Cognitive Services
    • AWS: SageMaker Redshift EC2 Data Pipeline Kinesis EMR Transcribe
    • Google Cloud: Vertex AI Agent Builder and other AI/ML services
  • Cloud certifications such as AWS Certified Solutions Architect Azure Solutions Architect Expert or Google Professional Cloud Architect.
Responsibilities:
  • Design and implement scalable secure and high-performance enterprise cloud solutions.
  • Develop cloud-native applications and architectures aligned with industry best practices and organizational goals.
  • Collaborate with cross-functional teams to define solution architectures and cloud strategies.
  • Guide the selection of appropriate cloud services (IaaS PaaS SaaS) to meet business and technical requirements.
  • Lead initiatives in AI/ML solution design and deployment using cloud-based services.
  • Ensure all designs comply with security and compliance standards.
  • Support continuous integration and deployment pipelines and advocate for DevOps best practices.
  • Provide subject matter expertise in API integration microservices and serverless architecture.
  • Communicate technical concepts and solution strategies clearly to business and IT stakeholders.
  • Stay current with emerging technologies and evaluate their potential impact on cloud architecture.

    If you meet these qualifications please submit your application via link provided in Linkedin.
    Kindly do not call the general line to submit your application.

Employment Type

Full-time

Company Industry

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