AI Solutions Architect

Job Summary

AI Solutions Architect is a full-time position responsible for leading technical engagement for AI training and infrastructure at scale, collaborating with customers and internal teams to ensure successful deployments.

Key Responsibilities

• Serve as the main point of contact for AI/ML software infrastructure for hyperscale customers and cloud providers
• Work with engineering teams to secure design wins, address challenges, and support solutions throughout their lifecycle
• Lead workshops and demos to showcase AI/ML capabilities and guide customers on scalable deployment processes

Required Qualifications

• Minimum of a BS/MS in Computer Science, Electrical Engineering, or equivalent experience
• 8+ years of engineering experience in AI/ML-focused projects or enterprise-grade solutions
• Proven understanding of Linux and AI/ML workloads
• Proficiency in Python and experience with parallel programming or GPU acceleration
• Experience with cloud environments and containerized solutions, such as Docker and Kubernetes