Solution Architect - AI infrastructure and Private Cloud

The Senior Solution Architect - AI Infrastructure role is pivotal in driving the development and optimization of private cloud environments tailored for AI/ML workloads. Operating within the consulting sector, this position demands a strategic approach to architecting solutions that leverage co-developed technologies with NVIDIA and validated reference architectures for enterprise-grade AI at scale.

Description

• Extensive knowledge of technologies and workload schedulers such as Slurm and Altair PBS Pro.
• Proficient in containerization technologies like Docker, Podman, and Singularity, with hands-on experience in Kubernetes, Red Hat OpenShift, and SUSE Rancher.
• Strong understanding of GPU technologies, including NVIDIA GPU Operator for Kubernetes-based environments.
• Extensive experience in Linux system administration, including multiple distributions like RHEL, SLES, and Ubuntu.
• Solid understanding of hybrid cloud architectures and experience with major cloud platforms.
• Proficiency in scripting or programming languages such as Python and Bash, with experience in automating infrastructure and AI workflows.
• Excellent problem-solving, analytical thinking, and communication skills, with proven ability to lead complex technical projects.

• Provide delivery assurance and serve as the lead design authority for Enterprise-grade container platforms, ensuring alignment with customer AI/ML strategies.
• Align solution architecture with NVIDIA Enterprise AI Factory design principles, focusing on modular scalability, GPU optimization, and hybrid cloud orchestration.
• Oversee planning, risk management, and stakeholder alignment throughout project lifecycles to ensure successful outcomes.
• Architect and optimize solutions across container orchestration workload management, using platforms such as Red Hat OpenShift and SUSE Rancher.
• Lead technical responses to RFPs and RFIs, ensuring alignment with business and technical requirements.
• Conduct proof-of-concept engagements to validate solution feasibility within customer environments.
• Act as a trusted advisor to enterprise customers, ensuring alignment of AI solutions with business goals.
• Collaborate with cross-functional teams to ensure cohesive and integrated solution delivery, mentoring technical consultants and contributing to internal knowledge sharing.

• Bachelor's/Master's in Computer Science, Information Technology, or a related field.