Hybrid AI Systems Architect — Generative AI & Data Center

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

Benefits offered by this job

Stock bonuses

Health benefits

Hybrid work model

Job summary

Intel Corporation seeks a highly technical AI Systems & Solutions Architect to shape next-generation Intel datacenter platforms for AI workloads, including Generative AI. You will work with customers and engineering teams to translate findings into product requirements and platform enhancements.

The role spans AI workloads, customer deployments, and system architecture, requiring strong communication, deep technical expertise, and proven influence across engineering and product teams.

Qualifications

• 8+ years of industry experience with a STEM degree
• 6+ years of AI workloads experience in data center/cloud/HPC environments
• 5+ years working directly with customers on architecture/product definition or requirements

Responsibilities

• Understand AI workloads and deployment architectures with customers
• Lead technical discussions and translate insights into product requirements
• Analyze architectures across software, systems, and hardware to identify bottlenecks
• Design workload characterization, benchmarking, and architecture validation
• Translate findings into platform enhancements and reference architectures
• Influence CPU and platform architecture decisions with data-driven recommendations

Skills

Customer engagement

Communication skills

Architectural judgement

Technical leadership

AI workload analysis

Benchmarking

Performance optimization

Cross-functional collaboration

Problem solving

Education

Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, or related STEM field

Master’s degree or Ph.D. in related technical discipline

Tools

AI frameworks

Job description

Intel Corporation seeks a highly technical AI Systems & Solutions Architect to shape next-generation Intel datacenter platforms for AI workloads, including Generative AI. You will work with customers and engineering teams to translate findings into product requirements and platform enhancements.

The role spans AI workloads, customer deployments, and system architecture, requiring strong communication, deep technical expertise, and proven influence across engineering and product teams.