Senior Specialist Solution Architect, AI

March 7

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Red Hat

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Red Hat is the world's leading provider of enterprise open source solutions, including Linux, cloud, container, and Kubernetes platforms. With its robust portfolio of hybrid cloud infrastructure and application services, Red Hat aids enterprises in deploying IT services across diversified infrastructures rapidly and cost-effectively. Trusted by more than 90% of companies in the U. S. Fortune 500, Red Hat offers products like Red Hat Enterprise Linux, OpenShift, and the Ansible Automation Platform, facilitating advancements in areas such as AI, edge computing, and IT automation. The company leverages open source communities to drive innovation and ensure enterprise-ready software solutions that are stable, secure, and reliable across any platform.

cloud computing • hybrid cloud management • Linux • open source • virtualization

10,000+ employees

Founded 1993

🏢 Enterprise

☁️ SaaS

💰 Corporate Round on 1999-03

📋 Description

• Work with the partner Solution Architect, account manager and sales specialist to identify challenges and blockers to drive Red Hat AI within new and existing partners. • Plan, design, and implement AI systems with partners; applying 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. • Drive adoption of Red Hat AI platforms by assisting ecosystem solution architects, supporting partner-led customer opportunities and partner development initiatives, with technical deep dives, proofs of concept, “bake-offs”, internal sprints, hackathons, and development of partner vertical-specific AI solutions. • Identify partner AI stakeholders, acting as a technical advocate within both their line-of-business and internal teams. • Work closely with the AI business unit and engineering teams, providing a market feedback loop on the product and solutions. • Engage in community outreach and partner advocacy activities including conference speaking, blog posts, and other public contributions.

🎯 Requirements

• 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). • 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 • Preferred Qualifications: • 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, defence, and intelligence verticals. • Community brand in volunteer tech communities like AI Users Group or open-source projects