Senior AI Platform Specialist Solution Architect

Red Hat; Salem (OR); Remote; USD 172,000 - 275,000; Full time

Benefits offered by this job

Medical coverage

401(k) match

Paid time off

Parental leave

Remote-friendly

Job summary

Red Hat is seeking an AI Platform Specialist Solution Architect to drive adoption of Red Hat AI across North America. You will architect AI systems, design data and ML pipelines, and lead technical workshops with leadership, data scientists, developers, and IT teams.

You will collaborate with AI business units, engineering, and partner teams to demonstrate cutting-edge features and deliver customer value, including PoCs, bake-offs, and joint AI solutions.

Qualifications

• Hands-on Kubernetes to design and run production-grade containerized environments.
• Experience configuring AI/ML workloads on Kubernetes with GPU scheduling.
• Proficiency with Python and OSS ML frameworks (TensorFlow, PyTorch).
• Experience delivering technical presentations and business value sessions.
• Executive presence with public speaking skills.

Responsibilities

• Identify challenges to drive Red Hat AI in customer accounts.
• Design AI systems with data pipelines and ML training/serving approaches.
• Lead pre/post-sales activities, PoCs, bake-offs and hackathons.
• Partner with AI stakeholders and internal teams for advocacy.
• Work with AI unit and engineering for product feedback.
• Lead community outreach and conference activities.

Skills

Kubernetes

Container platforms

AI/ML pipelines

Python

CI/CD / MLOps

Public speaking

Executive presence

Education

Computer Science or related degree

Tools

NVIDIA Operators

IaC / Ansible

Job description

Remote

Remote US CA

Remote US WA

Remote US OR

Full time

R-059523

About the role:

The Red Hat North America Technology Sales team is looking for an AI Platform Specialist Solution Architect (SSA) to join our team. This position assumes a crucial role in providing expert deep technical sales support for the seamless execution of Go-To-Market (GTM) strategies related to Red Hat AI within North American Your primary focus will be to remove organizational, technical, and competitive blockers of adoption within key accounts to become the preferred AI platform for workloads and applications across the business and help our customers leverage their proprietary data to gain a sustainable advantage over their competitors by helping them train, build, and manage applications that rely on these models.

You will need to be able to confidently articulate our value proposition to leadership, data scientists, developers, and IT teams within the account. This will entail technical architecture walk-throughs, business-value conversations, customer-facing technical workshops, and implementation of best practices in AI systems implementation and design.

You will work closely with the AI business unit and engineering, helping to test, document, and demonstrate cutting-edge features. You will also work in close collaboration with Red Hat customer sales, Customer Success, Consulting Services, and partner teams to ensure a highly positive customer experience.

What you will do:

• Work with the customer Account Executive, Sales Specialist, and Solution Architect to identify challenges and blockers to drive Red Hat AI within new and existing customer accounts

• Plan, design, and execute AI systems with customers having the ability to architect and build data pipelines, ML pipelines, and ML training and serving approaches leveraging additional support and resources from Red Hat as required

• Facilitate pre, and post-sales activities when needed, including technical deep dives, proofs of concept, bake-offs, internal sprints and hackathons, and development of partner vertical-specific AI solutions to drive adoption of Red Hat AI

• Identify and partner with AI customer stakeholders, acting as an advocate within both their line-of-business and internal customer teams

• Work closely with the AI business unit and engineering teams, providing a market feedback loop on the product and solutions

• Execute community outreach and customer advocacy activities including conference speaking, blog posts, etc

What you will bring:

• Kubernetes & Container Platform Expertise: 4 years of hands-on experience architecting, deploying, and managing production-grade containerized environments, with deep technical expertise in Kubernetes. Solid understanding of cluster operations, software-defined networking, persistent storage, and cluster security.

• Infrastructure for AI/ML Workloads: Proven experience configuring, optimizing, and scheduling containerized workloads on Kubernetes, specifically involving specialized hardware resource management (such as GPU scheduling, NVIDIA Operators, or Multi-Instance GPU configuration).

• Practical experience in one of the following areas:

• Machine Learning Use Case Development, including:

• building AI applications (e.g., deep learning, LLM/RAG, NLP, computer vision, or pattern recognition).

• Practical experience with a statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch).

• Machine Learning Operations design, including:

• Previous successful experience in AI systems design, with the ability to architect and explain data pipelines, ML pipelines, and ML training and serving approaches.

• Experience with CI/CD solutions in the context of MLOps and LLMOps including automation with Infrastructure as Code (IaC) solutions (e.g. Ansible).

• Experience delivering technical presentations and leading business value sessions.

• Executive presence with public speaking skills

Nice to have:

• Computer Science or similar degree

• Previous experience as a sales engineer, technical sales, or similar role preferably at an enterprise software company, a SaaS company, or Systems Integrator

• Previous experience as an implementation consultant for AI solutions

• Previous experience in Machine Learning Use Case Development and Operations experience

• Industry vertical experience with Data Science projects. i.e. - expertise in FSI, medical, defense, and intelligence verticals

• Community brand in volunteer tech communities like AI Users Group or open-source projects

The salary range for this position is $172,020.00 - $275,360.00 (inclusive of base pay target incentive compensation). Actual offer will be based on your qualifications.

Pay Transparency

Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat's compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.

About Red Hat

Red Hat (https://www.redhat.com/) is the world’s leading provider of enterprise open source (https://www.redhat.com/en/about/open-source) software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40 countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Benefits

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

Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!

Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States.

Inclusion at Red Hat

Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.

Equal Opportunity Policy (EEO)

Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.

Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email [e-mail] . General inquiries, such as those regarding the status of a job application, will not receive a reply.

We're the world’s leading provider of enterprise open source solutions - including Linux, cloud, container, and Kubernetes. We deliver hardened solutions that make it easier for enterprises to work across platforms and environments, from the core datacenter to the network edge.

At Red Hat, our commitment to open source extends beyond technology into virtually everything we do. We collaborate and share ideas, create inclusive communities, and welcome diverse perspectives from all Red Hatters, no matter their role. It's what makes us who we are.

Some of the most knowledgeable and passionate people in the technology industry work here. Whether we're building software, championing our products, or training new associates, we're collaborating openly to make a difference in the world of open source and beyond.