Senior AI Systems & Platform Architect — Data Center AI

Intel Corporation; Folsom (CA); Hybrid; USD 195,000 - 315,000; Full time

Benefits offered by this job

Stock bonuses

Health benefits

Retirement plan

Vacation

Job summary

Intel Corporation is seeking a highly technical AI Systems & Solutions Architect to shape the next generation of Intel datacenter platforms for AI workloads, including Generative AI and Agentic AI.

The role involves direct customer engagement, analyzing architectures across software, systems, and hardware, and translating findings into actionable product requirements and platform enhancements. Hybrid work model with locations across the US.

Qualifications

• Bachelors or higher in a STEM field with 8+ years experience, or Masters/PhD with 6+ years.
• 6+ years of AI systems and workloads experience in data center, cloud, or HPC environments.
• 5+ years direct work with customers on architecture, product definition, or requirements.

Responsibilities

• Engage with customers to understand AI workloads, architectures, infra needs, and trends.
• Lead discussions with customers and partners on Intel AI strategy and requirements.
• Analyze AI usage models across software, systems, hardware to identify bottlenecks.
• Design workload characterization, benchmarking, POCs, and architecture validation.
• Translate evidence into product requirements, architecture recommendations, and optimizations.
• Develop reference architectures, benchmarks, and acceptance criteria for CPU/platform decisions.
• Influence future Intel CPU and platform architectures through data-driven insights.

Skills

AI systems & workloads

Customer engagement

Architectural judgment

Education

Bachelor's degree in Computer Engineering/CS/EE or related STEM

Master's or Ph.D. in related field

Tools

AI frameworks

Benchmarking

CPU/Platform knowledge

Job description

Intel Corporation is seeking a highly technical AI Systems & Solutions Architect to shape the next generation of Intel datacenter platforms for AI workloads, including Generative AI and Agentic AI.

The role involves direct customer engagement, analyzing architectures across software, systems, and hardware, and translating findings into actionable product requirements and platform enhancements. Hybrid work model with locations across the US.