EMEA Senior Specialist Solution Architect, AI

EMEA Senior Specialist Solution Architect - AI

Red Hat’s EMEA Ecosystem Technical Sales team is looking for a Specialist Solution Architect (SSA) with specific skills and experience in AI to join us. You will play a crucial role in providing deep technical presales expertise and experience to support the execution of Red Hat’s AI Go-To-Market (GTM) strategy.

Your primary focus will be to help progress our partners’ experience with Red Hat’s AI platform from evaluation candidate to their preferred choice for the development, provisioning and support of AI workloads and applications based on open source. We call this achieving the ‘technical win’.

To get there you will need to be able to confidently articulate Red Hat’s value proposition to leadership, data scientists, developers, and IT teams at our partners and, potentially, their end customers. This could entail business-value conversations, technical architecture walk-throughs, customer-facing technical workshops, helping partners set up labs to rapidly prototype use cases and providing guidance on best practices using our platforms.

You’ll be collaborating with a range of key business and technical stakeholders, including senior leadership, data scientists, developers, and IT teams, so your ability to tailor your message and content accordingly will be essential.

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.

You won't be expected to know everything on day one, but your ability to learn new technology quickly will be essential. This is a remote job but should be within a reasonable commuting distance from an EMEA Red Hat office. 

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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About Red Hat

Red Hat is the world’s leading provider of enterprise 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.

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