Senior AI Cloud Architect — Multi-Cloud & Serverless Expert

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

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