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Senior AI Systems and Solutions Architect – Agentic AI and CPU Host — Intel

Lightspeed portfolio6,013 open roles

Pay
$195,200 – $315,490 a year
Where
US, Oregon, Hillsboro; United States of America; US, California, Folsom; US, California, Santa Clara; US, Arizona, Phoenix
Work mode
On site
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Your applicationOpen nowSenior AI Systems and Solutions Architect – Agentic AI and CPU Host — IntelLightspeed portfolio · US, Oregon, Hillsboro; United States of America; US, California, Folsom; US, California, Santa Clara; US, Arizona, Phoenix

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  2. 3.6%3 days
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  4. 15.2%14 days
  5. 34.0%30 days
This job: posted yesterday

The posting

Job Details:

Job Description:

About the Role

We are seeking a highly technical AI Systems & Solutions Architect to help define the next generation of Intel datacenter platforms for AI workloads, including Generative AI and Agentic AI.

Working directly with customers and engineering teams, you will investigate AI workloads, analyze architectures spanning software, systems, and hardware, identify future platform requirements, and translate technical findings into recommendations that shape next-generation Intel CPU and platform products.

This role sits at the intersection of AI workloads, customer deployments, system architecture, and product definition. You will combine customer evidence, workload analysis, and hands-on technical investigation to help ensure future Intel platforms and Xeon processors address real-world AI requirements and new opportunities for CPU and platform innovation.

Success in this role requires excellent customer engagement and communication skills, deep technical expertise, strong architectural judgment, and a proven track record of influencing decisions across customers, architects, product teams, and engineering organizations.

What You’ll Do

  • 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, communicating Intel’s AI infrastructure strategy and architecture perspectives, gathering feedback, and translating 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.

Qualifications:

Minimum Qualifications

  • 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.

Preferred Qualifications

  • 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.

Job Type:

Experienced Hire

Shift:

Shift 1 (United States of America)

Primary Location:

US, Oregon, Hillsboro

Additional Locations:

US, Arizona, Phoenix, US, California, Folsom, US, California, Santa Clara

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

Annual Salary Range for jobs which could be performed in the US: $195,200.00-315,490.00 USD

The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

*

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

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