Senior Supply Chain AI & Analytics Engineer

Amd

Quick summary

Work type: On-site
Location: Austin, TX
Posted: 112 days ago
Closes: Mar 12, 2027
Nearby: 99+ roles within 25 mi

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Similar $199k

$141k most similar roles pay here $248k

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About Amd

AMD (Advanced Micro Devices) is a semiconductor company that develops high-performance processors, graphics cards, and adaptive computing solutions for gaming, data centers, and embedded markets. Industry: Semiconductors

Amd currently has 53 open roles on FindRole.

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TL;DR · Senior Supply Chain AI & Analytics Engineer

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As a senior individual-contributor in AMD’s Supply Chain Transformation team, you will architect and develop AI-driven analytics solutions to enhance planning, inventory management, logistics, network optimization, and S&OP. Your daily tasks include designing and deploying machine learning models that integrate seamlessly with enterprise platforms, developing autonomous decision workflows through AI agents, and creating data-driven insights using Power BI and ThoughtSpot. You will work closely with data engineering teams to ensure model deployment is scalable and maintainable, while also mentoring junior team members and aligning analytics initiatives with business goals. The ideal candidate has expertise in Python or R for building ML models, proficiency in Power BI and ThoughtSpot, and experience in feature engineering and deploying AI solutions into production environments. Knowledge of optimization techniques and ERP systems like SAP is beneficial, as well as familiarity with LLMs and prompt engineering to design user-friendly solutions.

Skills

Python R Power BI ThoughtSpot AI/ML models feature engineering CI/CD SAP LLMs ERP systems Kubernetes Docker Terraform Prometheus Grafana

What you'll do

Design and deploy AI/ML models to improve supply chain planning and logistics.
Develop autonomous decision workflows using AI agents for proactive insights.
Translate complex supply chain problems into structured data-driven solutions.
Create high-quality dashboards and KPI frameworks in Power BI and ThoughtSpot.
Partner with data engineering teams to ensure scalable, maintainable model deployment.
Align analytics initiatives with business priorities across global Supply Chain teams.

What we're looking for

Expertise in Python and R for building and deploying AI/ML models.
Strong capability in Power BI and familiarity with ThoughtSpot analytics tools.
Experience architecting scalable data and analytics solutions integrating enterprise platforms.
Background applying analytics, AI, or data science within supply chain workflows.
Knowledge of feature engineering and deploying models into maintainable environments.
Demonstrated ability to work effectively in global teams across time zones.
Bachelor’s or master’s degree in a relevant technical field.

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