Senior AI Platform Architect - Kubernetes & ML Ops

Red Hat; United States; Remote; USD 172,000 - 275,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

401(k) with match

Paid time off & holidays

Parental leave

Employee stock purchase plan

Tuition reimbursement

Flexible health spending accounts

Job summary

Red Hat is seeking an AI Platform Specialist Solution Architect to help customers deploy and manage AI workloads on Kubernetes, architect data and ML pipelines, and lead technical workshops. You will collaborate with sales, engineering, and customer teams to enable GTM success.

The role requires 4+ years in containerized AI environments, strong architecture skills, and the ability to present complex concepts to leadership and technical audiences.

Qualifications

• 4+ years building production-grade Kubernetes-based AI/ML environments.
• Experience with CI/CD for MLOps (IaC like Ansible).
• Strong presentation and executive-facing communication skills.

Responsibilities

• Architect and design AI systems with data and ML pipelines.
• Lead technical deep dives, proofs of concept, and workshops for customers.
• Collaborate with AI business unit, engineering, and sales teams to drive adoption.

Skills

Kubernetes

Container platforms

ML/AI workloads

CI/CD

Public speaking

Education

Computer Science degree

Tools

Ansible

TensorFlow

PyTorch

Job description

Red Hat is seeking an AI Platform Specialist Solution Architect to help customers deploy and manage AI workloads on Kubernetes, architect data and ML pipelines, and lead technical workshops. You will collaborate with sales, engineering, and customer teams to enable GTM success.

The role requires 4+ years in containerized AI environments, strong architecture skills, and the ability to present complex concepts to leadership and technical audiences.