Senior AI Cloud Architect
Robotics Technologies LLC
Minneapolis, MN, United States
6 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
Tech stack
Amazon Web Services
Apache HTTP Server
Apache Tomcat
Microsoft Azure
Cloud Computing
Web Servers
Internet Information Services (IIS)
Machine Learning
Platform as a Service (PAAS)
Google Cloud
Generative AI
Kubernetes
+3 more
Information Technology
Data Pipelines
Serverless Computing
Requirements
- Bachelors degree (4-years) in Computer Science, Engineering or related technical field; or related work experience.
- 5-7+ years of relevant work experience required.
- Deep experience in serverless computing and PaaS products, container orchestration products such as Kubernetes and associated technologies, application and web servers such as Apache Tomcat, Apache HTTP and Microsoft IIS
- Experience in public cloud providers such as AWS, Azure and Google Cloud Platform
- Broad experience across architecture practices (data, infrastructure, applications and security) with depth of experience in at least one area.
- Has experience in architecting data pipelines from the System of Records (SOR) to architecting lake warehouses.
- Knowledge of Machine Learning and Generative AI use cases
- Knowledge of Enterprise-wide architecture and ability to ‘see the big picture’ and how it affects current and future technologies.
- Internal/External consulting experience that spans organizational boundaries and includes influencing technology and business leaders.
- Depth of experience in the architecture, design, implementation and support of complex enterprise solutions.
- Exposure to multiple, diverse technical configurations, technologies, and process improvements., * Significant business knowledge and have one or more areas of concentrated technical expertise.
- Demonstrated ability to explain highly technical solutions to technical and non-technical teams.
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