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Intel Corporation

Senior AI Systems and Solutions Architect – Agentic AI, CPU Host

Intel Corporation

. Engage directly with customers to understand AI workloads, deployment architectures, infrastructure requirements, operational challenges, technology trends, and the evolving role of CPUs across AI workflows .

Posted 10/7/2026full-timeUnited StatesSenior💰 $195,200 - $315,490 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI workloads, system architecture, and data center infrastructure, with a strong ability to translate customer insights into product requirements and architectural recommendations. Proven experience in technical leadership and collaboration across engineering, product management, and customer teams to drive alignment and execution.

Highest-signal resume keywords
AI Workload AnalysisSystem Architecture DesignCustomer EngagementPerformance OptimizationTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI FrameworksWorkload CharacterizationBenchmarkingPerformance OptimizationData Center InfrastructureTechnical ArchitectureProduct DefinitionSolution RequirementsCPU ArchitectureSystem Software
Soft Skills
CommunicationInfluencing StakeholdersCollaborationProblem-SolvingTechnical Discussions
Tools & Technologies
High-Performance ComputingCloud InfrastructureServer PlatformsNetworkingStorage SolutionsAccelerators
Certifications & Qualifications
Bachelor's Degree in Computer EngineeringMaster's Degree in a Related Technical DisciplinePh.D. in a Related Technical DisciplineMBA or Equivalent Experience
Industry Keywords
Generative AIAgentic AIEnterprise AIHyperscale CustomersOEM/ODMAI Ecosystem

Tech Stack

Tools & technologies
Cloud

About the role

Key responsibilities & impact
  • Engage directly with customers to understand AI workloads, deployment architectures, infrastructure requirements, operational challenges, technology trends, and the evolving role of CPUs across AI workflows
  • Lead technical discussions with customers and industry partners, communicate Intel's AI infrastructure strategy and architecture perspectives, gather feedback, and translate insights into future product requirements
  • Analyze AI usage models and architectures spanning software, systems, hardware, and infrastructure to identify bottlenecks, architectural tradeoffs, and opportunities to increase Intel CPU and platform value across Generative AI, Agentic AI, enterprise AI, training, and inference workloads
  • Design and execute workload characterization, benchmarking, proofs of concept, and architecture validation to evaluate performance, scalability, efficiency, and system behavior
  • Translate customer evidence and technical findings into product requirements, architecture recommendations, workload optimizations, and platform enhancements
  • Develop reference architectures, solution concepts, benchmark methodologies, and technical acceptance criteria to guide CPU and platform decisions
  • Influence future Intel CPU and platform architectures through technical leadership and data-driven recommendations
  • Partner with architecture, engineering, software, product management, and customer teams to resolve technical challenges, drive alignment, and accelerate execution

Requirements

What you’ll need
  • Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related STEM field with 8+ years of industry experience; OR Master's degree or Ph.D. in a related technical discipline with 6+ years of experience
  • 6+ years of experience with AI systems and workloads in data center, cloud, high-performance computing, or related technical environments
  • 5+ years of experience working directly with customers on technical architecture, product definition, or solution requirements
  • MBA or equivalent experience translating technical decisions into product outcomes
  • Demonstrated depth across AI workloads, system architecture, and data center infrastructure
  • Hands-on experience with AI frameworks, workload characterization, benchmarking, or performance optimization
  • Direct experience with server and data center platforms involving CPUs, memory, networking, storage, accelerators, or system software
  • Proven track record of translating customer requirements and technical findings into product requirements, architecture recommendations, or platform enhancements
  • Demonstrated experience influencing senior engineering stakeholders and driving technical decisions without direct authority
  • Technical engagement with hyperscale, cloud, enterprise, OEM/ODM, or AI ecosystem customers

Benefits

Comp & perks
  • Competitive pay
  • Stock bonuses
  • Health benefits
  • Retirement benefits
  • Vacation benefits
  • Hybrid work model allowing employees to split time between working on-site at their assigned Intel site and off-site