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 in Sweden or elsewhere in EMEA. You will play a crucial role in providing 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 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.
Note: This role may come into contact with confidential or sensitive customer information requiring special treatment in accordance with Red Hat policies and applicable privacy laws.
What you will do:
Presentation & Demos: Deliver technical presentations, including deep-dive demos and workshops, with minimal supervision.
RFx & Design Support: Develop technical responses for RFx e.g. Request for Information (RFI), Request for Proposal (RFP), Request for Quotation (RFQ) responses and architecture designs.
Partner Enablement: 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.
Pipeline & System Design: 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.
Ecosystem Adoption: 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.
Stakeholder Alignment: Identify partner AI stakeholders, acting as a technical advocate within both their line-of-business and internal teams.
Engineering Collaboration: Collaborate with product engineering to align solutions with roadmaps. Work closely with the AI business unit and engineering teams, providing a market feedback loop on the product and solutions.
Asset Creation & Mentorship: Assist in mentoring junior team members on technical best practices and contribute to reusable technical assets (e.g., battle cards, templates).
Community Engagement: 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.
Hands-on Experience: 2–3+ years of experience in one of the following areas:
Machine Learning Use Case Development: Experience 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: 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).
Communication: Experience delivering technical presentations and leading business value sessions. Strong public speaking and presentation 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, with preference for expertise in FSI, medical, defense, and intelligence verticals.
Active brand or participation in volunteer tech communities like AI Users Group or open-source projects.
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.
Inclusion at Red Hat
Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.
Equal Opportunity Policy (EEO)
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.