Senior AI Platform Architect - Data Center & CPU Strategy

Intel Corporation; Phoenix (AZ); Hybrid; USD 195,000 - 315,000; Full time

Benefits offered by this job

Stock bonuses

Health benefits

Retirement plan

Vacation

Job summary

Intel Corporation seeks an AI Systems & Solutions Architect to define next-gen datacenter platforms for AI workloads, spanning Generative and Agentic AI. You will work with customers and engineering to translate findings into platform requirements and product direction.

You will analyze architectures across software, systems, and hardware, influence CPU and platform design, and develop reference architectures and benching methodologies. Hybrid work model offered, with location in the US.

Qualifications

• Bachelor's degree in CS/EE/ENG with 8+ years or related MSc/PhD with 6+ years.
• 6+ years AI systems and workloads experience in data center/cloud/HPC.
• 5+ years direct customer engagement on architecture or product requirements.

Responsibilities

• Engage with customers to understand AI workloads and deployment architectures.
• Lead technical discussions, communicate Intel AI strategy and gather feedback.
• Analyze AI usage models across software, systems and hardware.
• Design workload characterization, benchmarking and architecture validation.
• Translate customer findings into product requirements and platform enhancements.
• Develop reference architectures and technical acceptance criteria.

Skills

AI workloads

Customer engagement

System architecture

AI frameworks

Benchmarking

Performance optimization

Server & data center

Translating requirements

Stakeholder influence

Hyperscale engagement

Education

Bachelor's degree + 8+ years

Master's/PhD + 6+ years

Job description

Intel Corporation seeks an AI Systems & Solutions Architect to define next-gen datacenter platforms for AI workloads, spanning Generative and Agentic AI. You will work with customers and engineering to translate findings into platform requirements and product direction.

You will analyze architectures across software, systems, and hardware, influence CPU and platform design, and develop reference architectures and benching methodologies. Hybrid work model offered, with location in the US.