Senior AI Cloud Architect

Cloud Analytics Technologies, LLC; Minneapolis (MN); On-site; USD 140,000 - 190,000; Full time

Job summary

A technology consulting firm located in the United States, particularly in Minnesota, is seeking a seasoned professional with 5-7+ years of experience in serverless computing and public cloud technologies such as AWS and Azure. The ideal candidate will possess a solid understanding of enterprise-wide architecture and have the ability to communicate complex technical solutions to diverse audiences. This role involves architecting data pipelines and driving improvements across technologies within the organization.

Qualifications

• 5-7+ years of relevant work experience required.
• Depth of experience in architecting data pipelines.
• Strong consulting experience across organizational boundaries.
• Experience designing data pipelines from SOR to lake warehouses.
• Knowledge of ML and Generative AI use cases.
• Ability to see big picture impact on current and future tech.
• Internal/External consulting spanning organizational boundaries.
• Hands-on experience with complex enterprise solutions.
• Exposure to diverse tech configurations and process improvements.

Skills

Serverless computing

Container orchestration (Kubernetes)

Public cloud (AWS, Azure, Google Cloud)

Machine Learning

Enterprise architecture

Data pipelines (SOR to lake)

Architectural consulting

ML & Generative AI knowledge

Multi-Cloud architecture

Security in architecture

Education

Bachelor's degree in Computer Science, Engineering or related field

Tools

Apache Tomcat

Apache HTTP

Microsoft IIS

AWS

Azure

GCP

Job description

Required Qualifications

• 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.

Preferred Qualifications

• 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.

Equal Opportunity Employer CLOUD ANALYTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. CLOUD ANALYTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will CLOUD ANALYTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.