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EMEA Senior Specialist Solution Architect - AI
You’ll be joining a partner ecosystem team that includes sales specialists, solution architects, and partner managers, all working with you to ensure positive partner experiences. You’ll be able to collaborate with a global community of AI specialists, including other SSAs, the AI business unit and Engineering, to test, document, and effectively demonstrate new features, share learning and best practices and provide feedback based on your real-world field experiences.
What you will do:
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.
What you will bring:
We don't expect you to check off all of the below areas to join our team. Instead, we prefer to build around your strengths and provide opportunities for you to grow your skills. We can offer a supportive working environment and lots of development opportunities.
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
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