AMD

1 week ago

Sr Agentic AI Solutions Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

Design, build, and deliver secure, scalable agentic AI solutions using AMD’s heterogeneous computing portfolio. You’ll work under the Agentic AI Systems Architecture team to translate architectural vision into customer reference implementations and PoCs across enterprise, cloud, sovereign AI, and edge. Focus areas include multi-agent orchestration, end-to-end performance engineering, deterministic behavior, data provenance/attestation, and grounding techniques for trustworthy AI systems—alongside active customer collaboration.

Location: Austin, Santa Clara

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Translate AMD’s agentic AI technical strategy into customer solutions, reference implementations, and PoCs across enterprise, cloud, sovereign AI, and edge environments.
•Build and optimize end-to-end heterogeneous execution reference solutions across AMD CPUs/GPUs/DPUs and supporting A+A and A+N deployment models.
•Deliver multi-agent systems and orchestration frameworks that balance performance, latency, throughput, power efficiency, scalability, and cost.
•Optimize agentic AI execution end-to-end, including task decomposition, reasoning pipelines, workflow scheduling, context management, and resource allocation.
•Implement secure, deterministic, and trustworthy AI behaviors using grounding, validation frameworks, governance/compliance, and data provenance/attestation techniques.

Key Requirements

•Deep hands-on expertise across AI infrastructure, virtualization/distributed systems, heterogeneous computing, intelligent data architectures, operating systems, cloud/Neo Cloud, networking, and security architecture.
•Ability to deliver production-ready agentic AI solutions with orchestration frameworks, multi-agent collaboration, and workflow optimization.
•Strong understanding of AI software ecosystems including ROCm, AMD Enterprise AI, AMD Zen Software Studio, LLM inference, RAG, vector databases, and model serving.
•Experience with data optimization and intelligent data structures to improve retrieval efficiency, knowledge representation, and scalability.
•Strong coding ability in Python, C, and C++ with comfort in performance-critical code paths.

Experience:AI infrastructureDistributed systemsCloud-native AIEnterprise AIConfidential computing

Education:

Skills:CommunicationCollaborationCustomer focus

Languages:English

Tech Stack:Agentic AIMulti-agent systemsOrchestration frameworksROCmAMD Zen Software StudioAMD Enterprise AILLM inferenceRetrieval-Augmented Generation (RAG)Vector databasesModel servingPythonCC++CPUsGPUsDPUsConfidential computingTrusted execution environmentsCryptographyToken efficiency

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

AMD

Designs and produces semiconductor products including CPUs, GPUs, and adaptive SoCs for consumer, enterprise, and embedded markets, competing across PCs, data centers, and gaming industries.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1969

Glassdoor: 3.9

Website LinkedIn

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AMD