Sr Agentic AI Solutions Engineer

AMD; Austin (TX); On-site; USD 180,000 - 280,000; Full time

Job summary

AMD in Austin is seeking a Senior Agentic AI Solutions Engineer to design, build, and deliver next-gen Agentic AI workflows across enterprise, cloud, sovereign AI, and edge deployments. You’ll translate architectural vision into working solutions, reference implementations, and PoCs—delivering secure, scalable AI systems.

This deeply hands-on role emphasizes performance, data optimization, and integration with ROCm, AMD Enterprise AI, and frontier models, while partnering with customers and

Qualifications

• Strong hands-on experience delivering large-scale AI infrastructure.
• Experience with ROCm, Zen Software Studio, and enterprise AI platforms.
• Proficient in Python/C++ and performance-critical code.

Responsibilities

• Deliver on AMD's Agentic AI technical strategy across enterprise, cloud, edge, and emerging AI deployments; translate vision into working solutions and PoCs.
• Build and optimize end-to-end reference solutions that maximize heterogeneous execution across CPUs, GPUs, DPUs, networking, memory and storage.
• Deliver intelligent multi-agent systems and orchestration frameworks that balance performance, latency, and cost.
• Optimize Agentic AI execution end‑to‑end—decomposition, multi‑agent collaboration, scheduling, and resource allocation.
• Implement data optimization and intelligent data structures to improve retrieval and inference performance.
• Deliver solutions that improve deterministic AI behavior and explainability, including governance and AI sovereignty.
• Build trusted, secure AI solutions with data provenance and attestation supporting enterprise security.
• Integrate frontier foundation models with retrieval systems and enterprise apps in hybrid cloud deployments.
• Partner with customers and ecosystems to embed and validate AMD Agentic AI in production environments.
• Collaborate with silicon, software, and product teams to shape future AMD roadmaps.

Skills

Python

C++

Hands-on AI

Performance optimization

Heterogeneous computing

Education

Bachelor's/Master's in CS/CE/AI

Tools

ROCm

Zen Software Studio

Vector databases

RAG

Job description

What you do at AMD changes everything

At AMD, our mission is to build great products that accelerate next‑generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond.

Together, we advance your career.

Together, we advance your career.

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. Working under the technical direction of AMD's Agentic AI Systems Architecture team, this role drives the hands‑on development, integration, and performance optimization of end‑to‑end AI workflows that leverage AMD CPUs, GPUs, DPUs, networking, and software platforms to deliver secure, scalable, deterministic, and high‑performance AI solutions for AMD's most strategic customers.

Working across AMD's AI software ecosystem—including AMD + AMD (A+A) and AMD + NVIDIA (A+N) environments—and leveraging ROCm, AMD Zen Software Studio, AMD Enterprise AI, and AMD's open‑source software initiatives, this engineer will translate architectural vision into working customer solutions, reference implementations, and early customer proof‑of‑concepts across enterprise, cloud, sovereign AI, and edge deployments. Delivered solutions will focus on execution, performance, efficiency, data integrity, and security, including governance, compliance, and AI sovereignty, while providing implementation feedback that helps shape AMD silicon and software roadmaps.

This is a deeply hands‑on, customer‑facing senior individual contributor role focused on solution delivery, technical implementation, and performance engineering. It is not a people management, program management, or alliance management position.

The Person

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. This individual has a demonstrated history of delivering complex customer solutions and shipping working systems that span hardware, software, networking, security, and AI frameworks.

The ideal candidate understands how frontier foundation models, agentic reasoning systems, orchestration frameworks, intelligent data structures, and heterogeneous compute resources interact to deliver scalable, deterministic, trustworthy, and production‑ready AI systems. They thrive in customer‑embedded environments where they can turn 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.

Key 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.

Preferred Experience

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

Academic Credentials

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Artificial Intelligence, Data Science, or related field preferred; advanced degree desired.

Alternate Location

• Santa Clara, CA

This role is not eligible for visa sponsorship.

Equal Opportunity Statement

AMD and its subsidiaries are equal‑opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third‑party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

Artificial Intelligence Screening

AMD may use Artificial Intelligence to help screen, assess, or select applicants for this position. AMD’s “Responsible AI Policy” is available here.

Posting Status

This posting is for an existing vacancy.