Sr Agentic AI Solutions Engineer

About the role

AMD's Software and Solutions Team is seeking a Senior Agentic AI Solutions Engineer to design, build, and deliver next-generation Agentic AI solutions built on AMD's heterogeneous computing portfolio.

Responsibilities

• Deliver on AMD's Agentic AI technical strategy across enterprise, cloud, sovereign AI, edge, and emerging AI deployment environments, translating architectural vision into working customer solutions, reference implementations, and PoCs.
• Build and optimize end-to-end reference solutions that maximize heterogeneous execution across AMD CPUs, GPUs, DPUs, networking, memory, storage, and future accelerator technologies — supporting both AMD + AMD (A+A) and AMD + NVIDIA (A+N) deployment models.
• Deliver intelligent multi-agent systems and orchestration frameworks that optimize execution across heterogeneous compute resources while balancing performance, latency, throughput, power efficiency, scalability, and cost.
• Optimize Agentic AI execution end-to-end — task decomposition, multi-agent collaboration, workflow scheduling, reasoning pipelines, context management, token and inference efficiency, and resource allocation — 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, memory hierarchy utilization, and overall AI system scalability.
• Deliver solutions that improve deterministic AI behavior, reduce hallucinations, and increase reliability, explainability, and trustworthiness of Agentic AI systems through grounding techniques, orchestration strategies, policy enforcement, validation frameworks, and intelligent workflow design.
• Build trusted, secure AI solutions incorporating data provenance, data attestation, lineage tracking, governance, compliance, and AI sovereignty, leveraging confidential computing, trusted execution environments, hardware roots of trust, attestation, and cryptographic techniques.
• Integrate frontier foundation models with retrieval systems, enterprise applications, orchestration frameworks, edge computing, sovereign AI environments, and hybrid cloud deployments.
• Partner directly with strategic customers, hyperscalers, OEMs, ISVs, and open-source communities to embed, deliver, and validate AMD Agentic AI solutions in production-oriented environments, accelerating customer adoption and reference outcomes.
• Partner with silicon architecture, software engineering, AI framework, and product management teams to provide implementation- and customer-driven feedback that informs future AMD silicon, software, and platform roadmaps.

Requirements

• A deep hands-on engineer with strong expertise spanning AI infrastructure, virtualization systems, distributed systems, heterogeneous computing, intelligent data architectures, operating systems, cloud and Neo Cloud environments, networking, security architecture (including secure computing and cryptography), and large-scale AI platform design, complemented by broad experience across modern AI software stacks, enterprise solutions, and software engineering methodologies.
• A demonstrated history of delivering complex customer solutions and shipping working systems that span hardware, software, networking, security, and AI frameworks.
• A demonstrated history of translating architectural vision into working code, benchmarks, and customer proof-points leading through technical excellence, deep coding ability, and solution delivery alongside the Fellow-level architect.

Qualifications

• Strong hands-on experience delivering large-scale AI infrastructure, distributed AI systems, cloud-native AI platforms, or enterprise AI solutions across heterogeneous computing architectures spanning CPUs, GPUs, DPUs, networking, storage, memory subsystems, virtualization, and cloud infrastructure.
• A 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.
• 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.
• Strong expertise in AI performance engineering — latency optimization, throughput, token efficiency, inference scalability, workload scheduling, and heterogeneous resource utilization.
• Strong coding ability with strong programming skills in Python, C, C++, and comfort in performance-critical code paths, profiling, and optimization.
• A background as a solutions engineer, applications engineer, or technical consultant at a major systems or platform company (e.g., HP, Dell, or comparable) or a top-tier consulting/integration organization is a strong plus.

Skills

• Excellent written and verbal communication skills; comfort embedding with customer engineering teams and presenting to senior customer stakeholders.

Benefits

AMD benefits at a glance.