About The Job

Red Hat is looking for a Principal Solution Engineer to join our Ecosystem Engineering team, focusing on the optimization of AI/ML models inference and serving. In this role, you will identify, build, and optimize emerging use-case patterns within the AI and vertical industries. These patterns will leverage Red Hat products, partner offerings, and open source projects deployed on Red Hat’s portfolio, with a specific emphasis on model serving, inference, and MLOps workflows. You will collaborate closely with Red Hat engineering and product management teams, using insights gained from interactions with partners and customers to influence product adoption and development. As part of a geographically distributed team, you will engage with multiple Red Hat engineering teams and open source communities globally. Success in this role requires strong motivation, curiosity, a passion for problem-solving, and hands-on experience with Linux technologies and open source.

What You Will Do

• Identify emerging patterns for applying Red Hat offerings to business problems
• Discover and describe what differentiates our solutions from competitive alternatives by working directly with key partners and customers who deploy and operate our solutions
• Create reference architectures for optimized AI workloads running on/with Red Hat’s portfolio
• Create and conduct on-demand demo labs, providing an initial practical experience for key partners and customers
• Provide technical vision and leadership on critical and high impact projects
• Communicate and promote the results of reference architectures globally through publication of blogs and speaking at webinars and conferences
• Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge
  
  

What You Will Bring

• Passionate about technology and continuous learning; an innovator with the ability to quickly master new tools and technologies and work independently.
• Technical leadership acumen
• Advanced experience with Kubernetes, OpenShift, or other cloud-native technologies
• Experience with AI and Machine Learning platforms, tools, and frameworks, such as LangChain/LangGraph, PyTorch, vLLM, MCP, and Kubeflow
• Ability to work on your own in a fast-paced, ever-changing environment
• Excellent written and verbal communication skills, with proven experience in technical leadership, publishing content, or presenting at industry events
• Passion for open source and community-based software development models
• Bachelor's degree in a technical field or equivalent experience
  
  

The Following Will Be Considered a Plus

• Bachelor's degree in statistics, mathematics, computer science, operations research, or a related quantitative field, or equivalent expertise; Master’s or PhD is a big plus
• Experience in a customer-facing role, such as: solution architecture or consulting, focused on deploying complex AI/ML solutions on Kubernetes.
• Advanced development experience in Python or Go.
• Familiarity with AI/ML services across major public clouds (AWS, Azure, GCP) and/or hardware accelerators (CUDA, ROCm).
• Experience working with automation tools/frameworks (e.g., Ansible, GitOps) and with MLOps/LLMOps platforms
• Knowledge and interest in developing tools and solutions using Agentic workflows
  
  

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.

Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.

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