Senior AI Platform Specialist Solution Architect

Overview

The Red Hat North America Technology Sales team is looking for an AI Platform Specialist Solution Architect (SSA) to join our team.

Responsibilities

• 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, and other engagement opportunities.
• Provide executive presence with public speaking skill.

Qualifications

• SME with 4+ years of hands‑on 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) and 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 skill.

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 a 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 (e.g., FSI, medical, defense, and intelligence verticals).
• Community brand in volunteer tech communities like AI Users Group or open-source projects.

Compensation

The salary range for this position is $206,430.00 – $330,260.00 (inclusive of base pay + target incentive compensation). Actual offer will be based on your qualifications. 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. This position may also be eligible for bonus, commission, and/or equity.

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.

Equal Opportunity

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.

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