Senior AI Platform Architect for Kubernetes & ML Ops

Red Hat, LLC; United States; A distancia; USD 172.000 - 275.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical, dental, vision coverage

401(k) with employer match

Paid time off and holidays

Parental leave plans

Disability benefits

Employee stock purchase plan

Descripción de la vacante

Red Hat is seeking an AI Platform Specialist Solution Architect to drive adoption of Red Hat AI within North America. You will articulate value, lead technical workshops, and design scalable AI systems with Kubernetes-based deployments across customer environments.

You will collaborate with AI business units, engineering, and sales teams to remove blockers and deliver go-to-market initiatives. This role emphasizes executive presence, deep technical acumen, and customer-facing leadership.

Formación

• Experience architecting production AI systems and data pipelines.
• Ability to articulate complex AI value propositions to leadership and technical teams.
• Experience delivering customer-facing technical workshops and POCs.

Responsabilidades

• Collaborate with Account Execs, Sales Specialists, and Solution Architects to identify blockers to AI adoption.
• Design and implement AI systems with data and ML pipelines for customers.
• Lead technical deep dives, bake-offs, and sprints to drive Red Hat AI adoption.
• Identify AI stakeholders and advocate for customer needs within teams.
• Provide market feedback to AI unit and engineering on products/solutions.
• Contribute to community outreach and customer advocacy activities.

Conocimientos

Kubernetes & container platforms

AI/ML workloads on Kubernetes

CI/CD & MLOps

Public speaking / executive presence

Solution architecture & pre-sales

Python

TensorFlow

PyTorch

Educación

Computer Science or similar degree

Herramientas

NVIDIA GPUs

Descripción del empleo

Red Hat is seeking an AI Platform Specialist Solution Architect to drive adoption of Red Hat AI within North America. You will articulate value, lead technical workshops, and design scalable AI systems with Kubernetes-based deployments across customer environments.

You will collaborate with AI business units, engineering, and sales teams to remove blockers and deliver go-to-market initiatives. This role emphasizes executive presence, deep technical acumen, and customer-facing leadership.