Senior AI Platform Specialist, Solution Architect

Red Hat

. Provide expert deep technical sales support for Red Hat AI go-to-market strategies across North American customer accounts .

Posted 10/4/2026full-timeRemote • United StatesSenior💰 $172,020 - $275,360 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and managing production-grade containerized environments, with a strong focus on Kubernetes and machine learning applications. Capable of delivering technical sales support and facilitating customer engagement through effective communication and collaboration.

Highest-signal resume keywords

Kubernetes ExpertiseMachine Learning Application DevelopmentAI Systems DesignTechnical Sales SupportPublic Speaking Skills

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Hard Skills

Containerized EnvironmentsCluster OperationsSoftware-Defined NetworkingPersistent StorageCluster SecurityStatistical Programming Language (Python)Machine Learning TechniquesCI/CD Solutions in MLOpsInfrastructure as Code (Ansible)AI Application Development

Soft Skills

Executive PresenceCustomer AdvocacyCollaborationCommunication

Tools & Technologies

TensorFlowPyTorchNVIDIA OperatorsMulti-Instance GPU Configuration

Industry Keywords

Technical ArchitectureData PipelinesML PipelinesDeep LearningNatural Language ProcessingComputer Vision

Tech Stack

Tools & technologies

AnsibleKubernetesPythonPyTorchTensorflow

About the role

Key responsibilities & impact

Provide expert deep technical sales support for Red Hat AI go-to-market strategies across North American customer accounts
Remove organizational, technical, and competitive adoption blockers to position Red Hat AI as the preferred AI platform
Help customers train, build, and manage applications using proprietary data and AI models
Articulate Red Hat’s value proposition to leadership, data scientists, developers, and IT teams
Conduct technical architecture walk-throughs, business-value conversations, customer-facing technical workshops, and implement AI systems best practices
Collaborate with the AI business unit and engineering to test, document, and demonstrate cutting-edge features
Work with Red Hat sales, Customer Success, Consulting Services, and partner teams to deliver a positive customer experience
Identify customer challenges and blockers with Account Executives, Sales Specialists, and Solution Architects
Plan, design, and execute AI systems, including data pipelines, ML pipelines, and ML training and serving approaches
Facilitate pre- and post-sales technical deep dives, proofs of concept, bake-offs, internal sprints, hackathons, and partner AI solutions
Partner with AI customer stakeholders and advocate across customer teams
Provide market feedback to AI business unit and engineering teams
Execute community outreach and customer advocacy activities, including conference speaking and blog posts

Requirements

What you’ll need

4+ years of hands-on experience architecting, deploying, and managing production-grade containerized environments
Deep technical expertise in Kubernetes
Solid understanding of cluster operations, software-defined networking, persistent storage, and cluster security
Experience configuring, optimizing, and scheduling containerized workloads on Kubernetes
Experience with specialized hardware resource management, such as GPU scheduling, NVIDIA Operators, or Multi-Instance GPU configuration
Practical experience in machine learning use case development, including building AI applications such as deep learning, LLM/RAG, NLP, computer vision, or pattern recognition
Practical experience with a statistical programming language such as Python
Applied machine learning techniques and OSS frameworks such as TensorFlow and PyTorch
Experience designing AI systems and architecting data pipelines, ML pipelines, and ML training and serving approaches
Experience with CI/CD solutions in MLOps and LLMOps, including Infrastructure as Code solutions such as Ansible
Experience delivering technical presentations and leading business value sessions
Executive presence with public speaking skills
Computer Science or similar degree is nice to have, not required
Previous sales engineering, technical sales, implementation consulting, machine learning operations, or industry vertical experience is nice to have

Benefits

Comp & perks

Comprehensive medical, dental, and vision coverage
Flexible Spending Account - healthcare and dependent care
Health Savings Account - high deductible medical plan
Retirement 401(k) with employer match
Paid time off and holidays
Paid parental leave plans for all new parents
Leave benefits including disability, paid family medical leave, and paid military leave
Employee stock purchase plan
Family planning reimbursement
Tuition reimbursement
Transportation expense account
Employee assistance program