Senior AI Cloud Architect

MACHINE LEARNING TECHNOLOGIES LLC; Minneapolis (MN); On-site; USD 165,000 - 262,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Senior AI Cloud Architect to design and oversee enterprise cloud architectures across multi-cloud environments. You will specialize in serverless and PaaS solutions, container orchestration with Kubernetes, and scalable data pipelines from source systems to lake warehouses.

You will leverage knowledge of ML and Generative AI to guide architecture decisions, influence technology strategy, and drive big-picture outcomes across security, data, and

Qualifications

• Bachelor's degree 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 (Kubernetes) and associated technologies.
• Experience with public cloud providers (AWS, Azure and Google Cloud Platform).
• Broad experience across architecture practices (data, infra, applications and security).
• Experience in architecting data pipelines from SOR to lake warehouses.
• Knowledge of Machine Learning and Generative AI use cases.
• Knowledge of Enterprise-wide architecture and ability to see the big picture.

Skills

Serverless computing

Container orchestration

Public cloud architecture

Enterprise architecture

Data pipelines design

Generative AI knowledge

Big-picture thinking

Education

Bachelor's degree in Computer Science or related field

Tools

Kubernetes

Apache Tomcat

Apache HTTP

Microsoft IIS

AWS

Azure

Google Cloud Platform

Job description

Job Description

Job Overview

• Job ID: J52960
• Job Title: Senior AI Cloud Architect
• Location: Minneapolis, MN
• Duration: 24 Months + Extension
• Hourly Rate: Depending on Experience (DOE)
• Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C

Summary

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

MACHINE LEARNING 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. MACHINE LEARNING 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 MACHINE LEARNING 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.