Senior AI Infrastructure Architect

Ll Oefentherapie; United States; On-site; USD 170,000 - 355,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) Savings with company match

Paid time off

Job summary

Oracle OCI AI Infrastructure team is building the world’s largest AI clusters, delivering GPU platforms for AI/ML workloads. This role focuses on architectural changes for GPU delivery, health monitoring, triage automation, and diagnostic services.

You will work with cutting‑edge technologies, improving uptime and reliability, and lead incident response and post‑mortems while collaborating with Enterprise and AI/ML customers to understand requirements and drive performance improvements.

Responsibilities

• Play a pivotal role in ensuring AI infrastructure continues to meet the rapidly evolving demands of Enterprise and AI/ML customers.
• Ensure reliability and customer satisfaction through proactive issue management and recurring pattern resolution.
• Engage with Enterprise and AI/ML customers to understand their specific requirements for uninterrupted workloads.
• Drive the organization’s goals to pursue opportunities that make AI infrastructure more efficient.
• Partner and collaborate with organization leaders to help improve the performance of the team and organization.
• Represent major incidents to customers, communicating both technically and strategically.
• Identify recurring issues and drive organizational improvements to prevent future incidents.
• Hands‑on debugging and log analysis (individual contributor role).
• Collaborate with internal teams to maintain uptime, performance, and customer growth.
• Implement monitoring and optimization frameworks for AI workloads, including latency, throughput, and cost efficiency.
• Lead incident response and post‑mortem processes for infrastructure issues impacting AI services.

Job description

Oracle OCI AI Infrastructure team is building the world’s largest AI clusters, delivering GPU platforms for AI/ML workloads. This role focuses on architectural changes for GPU delivery, health monitoring, triage automation, and diagnostic services.

You will work with cutting‑edge technologies, improving uptime and reliability, and lead incident response and post‑mortems while collaborating with Enterprise and AI/ML customers to understand requirements and drive performance improvements.