AMD

3 weeks ago

Sr. Forward Deployed AI Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 16 hours agoStatus: Live

Job Summary

Build forward-deployed AI prototypes and production-oriented workflows that turn AI opportunities into working engineering systems. You’ll integrate LLMs and agents with real engineering tools (compilers, profilers, test harnesses, simulators, validation systems, dashboards, and ticketing), translate stakeholder needs into measurable evals, and design evaluation harnesses and reproducible pipelines. Partner with AI researchers and engineering teams to test methods in realistic environments and improve adoption through reliable, observable developer experiences.

Location: Santa Clara

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Build forward-deployed AI prototypes and production-oriented workflows for engineering teams and strategic partners.
•Integrate LLMs and agents with real engineering tools such as compilers, profilers, test harnesses, simulators, validation systems, knowledge bases, dashboards, and ticketing systems.
•Translate ambiguous stakeholder needs into working software, clear evals, and measurable proof points.
•Design and maintain evaluation harnesses, benchmark workflows, logging, dashboards, and reproducible experiment pipelines.
•Partner with AI researchers to test new methods in realistic environments and improve where models, tools, prompts, rewards, or data fall short.

Key Requirements

•Strong software engineering skills in Python and at least one systems or application language such as C++, C, TypeScript, HIP, or CUDA.
•Experience building AI-enabled applications, ML systems, developer tools, automation systems, or technical prototypes for expert users.
•Ability to integrate with complex tools, APIs, logs, build systems, test systems, and internal engineering environments.
•Strong debugging skills and systems thinking, with the ability to move from ambiguous requirements to working software.
•Clear written and verbal communication with engineering stakeholders, researchers, partner teams, and leadership.

Experience:AIMachine learningDeveloper toolsAutomationTechnical prototypes

Education:Bachelor's in Computer Science, Computer Engineering, Electrical Engineering, Machine Learning, or related field

Skills:PragmatismReliability focusDebuggingSystems thinkingCommunication

Languages:English

Tech Stack:PythonC++CTypeScriptHIPCUDALLMsAI agentsLLM agentsTool callingRetrievalCode generationAutomated debuggingEvaluation frameworksML workflow orchestrationGPUCPUROCmPyTorchJAX

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