This role pays less than
55%
of similar roles. Most pay
$162,000–$246,150
— the shaded band above.
At the midpoint, this role pays about
$199k
versus about
$204k
for comparable roles.
Based on 239 similar postings.
Employer
About Amd
AMD (Advanced Micro Devices) is a semiconductor company that develops high-performance processors, graphics cards, and adaptive computing solutions for gaming, data centers, and embedded markets. Industry: Semiconductors
Amd currently has
367 open roles
on FindRole.
Listed pay typically runs
$166,400–$249,600
across 367 roles with salary data.
Sr Agentic AI Solutions Engineer joins the Software and Solutions Team to design, build, and deliver next-generation Agentic AI solutions on a heterogeneous computing portfolio. This hands-on role involves developing end-to-end AI workflows, reference implementations, and proof-of-concepts across enterprise, cloud, sovereign AI, and edge deployments. The engineer will optimize multi-agent systems, orchestration frameworks, and reasoning pipelines while ensuring data integrity and security through confidential computing and cryptographic techniques. Key technologies include ROCm™, AMD Zen Software Studio, AMD Enterprise AI, Python, C, and C++. The role addresses the challenge of creating scalable, deterministic, and trustworthy AI systems by integrating frontier foundation models with retrieval-augmented generation and intelligent data structures. The engineer will work across both AMD+AMD and AMD+NVIDIA environments to improve performance, efficiency, and reliability for strategic customers while providing feedback to shape future silicon and software roadmaps.
Translate architectural visions into working customer solutions, reference implementations, and proof-of-concepts across enterprise, cloud, and edge environments.
Build and optimize end-to-end reference solutions using AMD CPUs, GPUs, DPUs, and networking for both AMD and NVIDIA hardware models.
Develop multi-agent systems and orchestration frameworks to balance performance, latency, throughput, and power efficiency across heterogeneous resources.
Optimize Agentic AI execution including task decomposition, reasoning pipelines, context management, and resource allocation.
Implement intelligent data structures and optimization techniques to improve retrieval efficiency and memory hierarchy utilization.
Engineer solutions that ensure deterministic AI behavior by reducing hallucinations and improving reliability through grounding and policy enforcement.
Build secure AI solutions incorporating data provenance, attestation, and confidential computing to meet governance and sovereignty requirements.
Provide technical feedback to internal teams to inform future AMD silicon, software, and platform roadmaps.
What we're looking for
Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Artificial Intelligence, Data Science, or a related field.
Experience delivering large-scale AI infrastructure, distributed systems, and cloud-native platforms across heterogeneous computing architectures (CPUs, GPUs, DPUs).
Expertise in Agentic AI solutions including multi-agent collaboration, orchestration frameworks, autonomous reasoning, and workflow optimization.
Proficiency with the ROCm™, AMD Enterprise AI, and AMD Zen Software Studio ecosystems.
Experience in AI performance engineering focusing on latency, throughput, token efficiency, and resource utilization.
Knowledge of data optimization, intelligent data structures, vector databases, and retrieval architectures for enterprise-scale systems.
Expertise in security architecture including confidential computing, trusted execution environments, and data provenance/attestation.
Strong programming skills in Python, C, and C++ with experience in performance-critical code paths and profiling.
Agentic AI
Heterogeneous Computing
ROCm
AMD Enterprise AI
AMD Zen Software Studio
LLM Inference
RAG
SGLang
LMCache
x86
ARM
Distributed Systems
Confidential Computing
Performance Engineering
Multi-agent Systems
Networking