AMD

1 day ago

Senior Supply Chain AI & Analytics Engineer

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Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

Architect and operationalize AI-driven analytics that transform AMD’s end-to-end supply chain across planning, logistics, inventory, and factory operations. Build and deploy AI/ML models and advanced analytics, as well as AI agents that monitor signals and automate decision workflows. Turn complex supply-chain problems into structured, data-driven solutions, and deliver dashboards and KPI frameworks using Power BI and ThoughtSpot—partnering with data engineering for scalable, explainable production systems.

Location: Austin

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Design, build, and deploy AI/ML models and advanced analytics to improve planning, inventory, logistics, network optimization, and S&OP.
•Develop and operationalize AI agents that monitor supply chain signals, surface insights, recommend actions, and automate decision workflows.
•Translate ambiguous supply chain problems into structured solutions using exploratory analysis, scenario modeling, root-cause investigations, and optimization over large datasets.
•Create dashboards, semantic models, and KPI frameworks in Power BI; enable search-driven and natural-language analytics through ThoughtSpot.
•Partner with data engineering to ensure reliable datasets and support pipeline development, feature engineering, and production model deployment; communicate insights and mentor junior contributors.

Pay and Benefits

Salary: USD 122,500 - 210,000 annually

Key Requirements

•Expertise in Python and/or R with hands-on experience building and deploying AI/ML models, generative solutions, or AI agents.
•Strong capability in Power BI (data modeling, DAX, semantic layer design) and familiarity with ThoughtSpot or similar search/NLQ tools.
•Ability to architect scalable data and analytics solutions integrating models, pipelines, and AI agents with enterprise platforms and supply chain systems.
•Background applying analytics, AI, or data science to planning, logistics, inventory, network optimization, or S&OP workflows.
•Experience with feature engineering, production pipelines, and deploying models/agents into repeatable, maintainable operating environments.

Experience:Supply chainAI/MLAnalytics

Education:Bachelor's in data science, Engineering, Operations Research, Supply Chain, Computer Science, or related field

Skills:CommunicationCollaborationArchitectural thinkingProblem-solvingMentoring

Languages:En-us

Tech Stack:PythonRAI/MLPower BIDAXThoughtSpotLLMsPrompt engineeringAI agentsERPSAPLinear programmingHeuristicsERP systems

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