Senior AI Systems and Solutions Architect – Agentic AI and CPU Host - United States
$195,200 - $315,490 USD yearly
Originally posted 8 October 2026 by the employer.
About the role
What you'll do
- Engage with customers to understand AI workloads, deployment architectures, and infrastructure requirements.
- Lead technical discussions with customers and partners, communicating Intel's AI infrastructure strategy.
- Analyze AI usage models and architectures spanning software, systems, hardware, and infrastructure.
- Design and execute workload characterization, benchmarking, proofs of concept, and architecture validation.
- Translate customer evidence and technical findings into product requirements, architecture recommendations, and workload optimizations.
- Develop reference architectures, solution concepts, benchmark methodologies, and technical acceptance criteria.
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.
Nice to have
- 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.
Skills: AI workloads, Generative AI, Agentic AI, platform requirements, Xeon processors, system architecture
This role has been open 0 days — well below the 75-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
521
|
Median days open
75 d
|
Median salary
$235k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Intel Corporation | All employers we track in this specialty (521 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 14 | 521 |
| Open roles in the wider Software, Firmware & Systems family | 186 | 6063 · 146 employers |
| Median days open | 34 d | 75 d (−41 d vs this employer) |
| Median salary (USD postings) | — | $235k |
Skills observed across this category: AI workloads, Generative AI, Agentic AI, platform requirements, Xeon processors, system architecture
Who's hiring in this category
- Qualcomm · 100 open roles · median 112 d
- NVIDIA · 89 open roles · median 51 d
- AMD · 41 open roles · median 71 d
- Micron Technology · 30 open roles · median 60 d
- Mobileye · 19 open roles · median 70 d
- Analog Devices · 16 open roles · median 33 d
How we counted: 521 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 8 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.