About the Role
The Red Hat EMEA Technology Sales team is looking for an AI Platform Specialist Solution Architect (SSA) to join their 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 EMEA.
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. You will help customers leverage their proprietary data to gain a sustainable advantage by training, building, and managing applications that rely on these models.
You will need to be able to confidently articulate Red Hat's value proposition to leadership, data scientists, developers, and IT teams. 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 collaborate with Red Hat customer sales, Customer Success, Consulting Services, and partner teams to ensure a highly positive customer experience.
Primary 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, etc.
Required Qualifications
- SME with 4+ years of hands-on experience in one of the following areas:
- Machine Learning Use Case Development, including:
- Practical experience with a statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch).
- Building AI applications (e.g., deep learning, LLM/RAG, NLP, computer vision, or pattern recognition).
- 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, defense, and intelligence verticals.
- Community brand in volunteer tech communities like AI Users Group or open-source projects.