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Cloud Solution Architect with AI/ML

Jobs via Dice

Austin, TX

Hybrid
Mid Level
Full Time
Posted January 08, 2026

Tech Stack

azure-machine-learning microsoft-azure amazon-machine-learning amazon-web-services google-cloud-platform aws-identity-and-access-management-iam docker kubernetes terraform python java c-sharp serverless bedrock amazon-sagemaker amazon-redshift amazon-ec2 aws-data-pipeline amazon-kinesis amazon-emr amazon-transcribe vertex azure-arc appcast

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Job Description

Dice is the leading career destination for tech experts at every stage of their careers. Our client, HireBlazer, is seeking the following. Apply via Dice today! **Title: Cloud Solution Architect with AI/ML** Duration: 6 Months (3 Years Ext) Location: Austin, Texas 78751. The working position is Hybrid - On Site and Telework. Position will be 3 days remote with 2 days (Mon & Wed). **Summary:** The cloud architect is responsible for the cloud computing initiatives within an organization and for directing the architectural aspects of a cloud brokering team across all aspects of IT and the business. Responsible for the planning and engineering of an organization's cloud computing infrastructure and applications. Implements and designs hardware and software. Familiar with standard concepts, practices, and procedures of cloud technology, including Software as Service (SaaS), Platform as Service (PaaS), or Infrastructure as a Service (IaaS). **The cloud solution architect will be responsible for:** - Design, develop and maintain cloud application architecture that aligns with business goals and technical requirements. - Design scalable, secure, and resilient cloud infrastructure that ensure best practices in cloud architecture. - Assess the current infrastructure and identify components suitable for cloud migration. Develop a comprehensive migration strategy, including timelines and resource allocation. - Implement and validate the migration, ensuring data integrity and system functionality. - Ensure cloud architecture complies with industry standards and regulatory requirements. - Implement security measures to protect data and applications in the cloud. - Monitor cloud system performance and identify areas for improvement. - Implement solutions to enhance performance, scalability, and reliability. - Collaborate with stakeholders to understand business needs and translate them into technical solutions. - Provide guidance and support to other IT team members on cloud technologies and best practices. - Stay updated with the latest cloud technologies and industry trends. - Identify opportunities for innovation and improvement in cloud architecture and services. - Guide technical and business decision-makers on AI/Machine Learning/Deep Learning and generative AI projects, helping to map Azure, Google and AWS services. - Analyze the services to extract technical and business insights that drive reference architectures, runbooks, and training content. **Required Skills:** - 10 Years of Required experience architecting enterprise application solutions across on-premises and cloud infrastructure - 8 Years of Required architecting solutions in one or more of the cloud platforms: Google Cloud Platform, and AWS. - 8 Years of Required developing cloud native application architectures across leading cloud platforms. - 8 Years of Required architecting solutions that utilize fit-for-purpose service models such as IaaS, PaaS, and SaaS - 8 Years of Required experience in all phases of Machine Learning, Artificial Intelligence and Deep Learning solutions using AWS or google technologies. **Preferred Skills:** - 8 Years of Preferred Strong understanding of virtual networks, VPNs, DNS, load balancers, and firewalls. - 8 Years of Preferred Understanding of cloud security frameworks, encryption, identity and access management (IAM), and compliance standards like GDPR, HIPAA, etc. - 8 Years of Preferred Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (IaC) tools like Terraform or CloudFormation. - 8 Years of Preferred Proficiency in languages such as Python, Java, C#, and scripting languages for automation. - 8 Years of Preferred Knowledge of API design, development, and management, including RESTful and SOAP APIs. - 8 Years of Preferred Knowledge of microservices, serverless architectures, and cloud-native application development. - 8 Years of Preferred Ability to analyze and optimize cloud costs while maintaining performance and reliability. - 8 Years of Preferred Excellent verbal and written communication skills to articulate cloud strategies and solutions to stakeholders. - 8 Years of Preferred Ability to work effectively with cross-functional teams, including developers, administrators, and business leaders. - 8 Years of Preferred Skills in monitoring and analyzing system performance to ensure optimal cloud operations. - 6 Years of Preferred Experience with AWS technologies like Bedrock, SageMaker, Redshift, EC2, Data Pipeline, Kinesis and EMR - 6 Years of Preferred Experience with AI services like Transcribe etc or Google technologies like Vertex AI platform, Agent Builder, and other toolset - 1 Year of Preferred Cloud Certification eg AWS Certified Solutions Architect, Azure Solutions Architect Expert or Google Professional Cloud Architect