
AI Innovations Architect
2 weeks ago
About Us
At Red Hat, we harness the power of open source to drive innovation and collaboration in the tech industry.
We're seeking a seasoned Principal Software Engineer to join our AI Catalyst Platform team as a key enabler for rapid AI prototyping and operational efficiency.
This role focuses on providing technical and operational support to the AI Catalyst team, which explores upstream AI initiatives and drives innovation across the organization.
You will help accelerate the development of AI prototypes by ensuring seamless platform integration, CI/CD pipelines, and other critical infrastructure to enable high-speed experimentation and iteration.
- Platform Optimization: Design and maintain scalable, secure, and efficient platforms to support AI Catalyst team initiatives, ensuring smooth integration of AI models and workflows.
- Infrastructure Management: Provide expertise in Kubernetes and cloud platforms (GCP, AWS, Azure) for container orchestration, scalable deployments, and real-time operations.
- Technical Leadership: Lead the implementation of critical systems (APIs, orchestration, observability, deployment) to ensure speed, reliability, and maintainability.
- Cross-Functional Collaboration: Work closely with engineering, product, and design teams to align technical priorities and drive impactful AI initiatives.
- Mentorship: Guide and mentor engineers, fostering a culture of technical excellence, collaboration, and rapid execution.
Key Responsibilities:
- Design and maintain scalable, secure, and efficient platforms to support AI Catalyst team initiatives.
- Provide expertise in Kubernetes and cloud platforms for container orchestration, scalable deployments, and real-time operations.
- Lead the implementation of critical systems (APIs, orchestration, observability, deployment).
- Work closely with engineering, product, and design teams to align technical priorities and drive impactful AI initiatives.
- Guide and mentor engineers, fostering a culture of technical excellence, collaboration, and rapid execution.
Nice to Have:
- Experience with cloud platforms such as GCP, AWS, or Azure.
- Experience with building and packaging Python projects, package managers (dnf, pip), and build systems (cmake, meson).
- Experience in working with upstream projects and Open Source communities.
- Experience in early-stage product incubation or 0?1 product delivery.
- Contributions to internal AI platforms, model evaluation frameworks, or observability for AI systems.
Why Join Our Team?
We're a community-driven company that values transparency, collaboration, and inclusion. Our work environment is designed to foster creativity, innovation, and growth. If you're passionate about AI, open source, and driving meaningful change, we'd love to hear from you
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