AI Platform Architect

Red Hat, LLC; United States; On-site; USD 140,000 - 200,000; Full time

Job summary

Red Hat, LLC seeks a full-time remote AI Platform Architect to design, build, and scale enterprise AI platforms, focusing on MLOps and Large Language Models while collaborating with stakeholders to boost AI adoption and operational efficiency.

You will design solutions that leverage the Red Hat ecosystem to address complex business challenges, collaborate with customer teams to manage scope and risks, and architect production-grade MLOps pipelines using OpenShift Container Platform, guiding

Qualifications

• 8–10 years in a related technology position (sales, consulting, or development).
• 5+ years of experience with Public Cloud and Linux technologies.
• 3+ years of experience with OpenShift Container Platform or Kubernetes.
• 3+ years of experience in production-ready AI solutions and ML use cases.
• Experience in designing and delivering implementations using various public and private cloud infrastructure technologies.

Responsibilities

• Design and advocate solutions that leverage the Red Hat ecosystem to address complex business challenges.
• Collaborate with customer teams to manage project scope, mitigate risks, and ensure timely delivery of AI solutions.
• Architect and build production-grade MLOps pipelines using Red Hat OpenShift Container Platform and guide customers through model selection and deployment architectures.

Skills

Strategic design

Customer collaboration

Leadership

MLOps experience

AI platform experience

Tools

OpenShift

Kubernetes

Public Cloud

Job description

Seeking a full-time remote AI Platform Architect, this role will design, build, and scale enterprise AI platforms, focusing on MLOps and Large Language Models while collaborating with stakeholders to enhance AI adoption and operational efficiency.

Key responsibilities

• Design and advocate solutions that leverage the Red Hat ecosystem to address complex business challenges
• Collaborate with customer teams to manage project scope, mitigate risks, and ensure timely delivery of AI solutions
• Architect and build production-grade MLOps pipelines using Red Hat OpenShift Container Platform and guide customers through model selection and deployment architectures

Required qualifications

• 8-10 years in a related technology position, such as sales, consulting, or development
• 5+ years of experience with Public Cloud and Linux technologies
• 3+ years of experience with Red Hat OpenShift Container Platform or Kubernetes
• 3+ years of experience in production-ready AI solutions and Machine Learning use cases
• Experience in designing and delivering implementations using various public and private cloud infrastructure technologies