Sr. Agentic AI Solutions Engineer - CA, Santa Clara, United States
Originally posted 25 September 2026 by the employer.
Design, build, and deliver Agentic AI solutions built on AMD's heterogeneous computing portfolio.
About the role
This role designs, builds, and delivers Agentic AI solutions built on AMD's heterogeneous computing portfolio. This includes driving the hands-on development, integration, and performance optimization of end-to-end AI workflows that leverage AMD CPUs, GPUs, DPUs, networking, and software platforms.
What you'll do
- Deliver on AMD's Agentic AI technical strategy across enterprise, cloud, sovereign AI, edge, and emerging AI deployment environments.
- Build and optimize end-to-end reference solutions that maximize heterogeneous execution across AMD CPUs, GPUs, DPUs, networking, memory, storage, and future accelerator technologies.
- Deliver intelligent multi-agent systems and orchestration frameworks that optimize execution across heterogeneous compute resources.
- Optimize Agentic AI execution end-to-end, balancing performance, cost, energy, security, and quality of service across heterogeneous AI infrastructure.
- Implement innovative approaches for data optimization and intelligent data structures that improve retrieval efficiency, knowledge representation, inference performance, and AI system scalability.
- Build trusted, secure AI solutions incorporating data provenance, data attestation, lineage tracking, governance, compliance, and AI sovereignty.
What you'll need
- Strong expertise spanning AI infrastructure, virtualization systems, distributed systems, heterogeneous computing, intelligent data architectures, operating systems, cloud and Neo Cloud environments, and networking.
- Expertise in security architecture (including secure computing and cryptography) and large-scale AI platform design.
- Broad experience across modern AI software stacks, enterprise solutions, and software engineering methodologies.
- Understanding of frontier foundation models, agentic reasoning systems, orchestration frameworks, intelligent data structures, and heterogeneous compute resources.
- Demonstrated history of delivering complex customer solutions and shipping working systems that span hardware, software, networking, security, and AI frameworks.
- Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Artificial Intelligence, Data Science, or related field.
Nice to have
- Strong hands-on experience delivering large-scale AI infrastructure, distributed AI systems, cloud-native AI platforms, or enterprise AI solutions across heterogeneous computing architectures.
- Strong understanding of modern AI software ecosystems, including ROCm™, AMD Enterprise AI, AMD Zen Software Studio, frontier foundation models, LLM inference, Retrieval-Augmented Generation (RAG), vector databases, model serving, and AI orchestration frameworks.
- Hands-on experience delivering Agentic AI solutions – multi-agent collaboration, orchestration frameworks, autonomous reasoning, planning, workflow optimization, and intelligent task execution.
- Deep hands-on expertise in data optimization, intelligent data structures, knowledge representation, vector databases, and retrieval architectures supporting enterprise-scale AI systems.
- Strong expertise in AI performance engineering – latency optimization, throughput, token efficiency, inference scalability, workload scheduling, and heterogeneous resource utilization.
- Experience delivering methodologies that improve AI reliability through deterministic execution, hallucination mitigation, grounding, explainability, and trusted AI outcomes; working knowledge of confidential computing, trusted execution environments, attestation, data provenance, and enterprise AI security.
- Deep hands-on coding ability with strong programming skills in Python, C, C++ and comfort in performance-critical code paths, profiling, and optimization.
- Advanced degree desired.
Skills: Agentic AI solutions, heterogeneous computing, ROCm, distributed systems, cloud-native AI platforms
This role has been open 15 days — well below the 52-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · Infrastructure Platform
|
Open roles in category
931
|
Median days open
52 d
|
Median salary
$227k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | AMD | All employers we track in this specialty (931 roles · 86 employers) |
|---|---|---|
| Open roles in this specialty | 51 | 931 |
| Open roles in the wider Software, Firmware & Systems family | 403 | 6035 · 146 employers |
| Median days open | 30 d | 52 d (−22 d vs this employer) |
| Median salary (USD postings) | — | $227k |
Skills observed across this category: Agentic AI solutions, heterogeneous computing, ROCm, distributed systems, cloud-native AI platforms
Who's hiring in this category
- NVIDIA · 260 open roles · median 47 d
- Qualcomm · 61 open roles · median 57 d
- AMD (this employer) · 52 open roles · median 29 d
- Graphcore · 44 open roles · median 85 d
- Cerebras · 39 open roles · median 75 d
- Intel Corporation · 36 open roles · median 18 d
How we counted: 931 open Infrastructure/Platform Software (Infrastructure Platform) roles from 86 employers tracked in the SemiconductorJobs index, counted 10 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.