Lead AI Solutions Architect, Supply Chain

Amd

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Austin, TX
Salary
$140,000–$210,000 / yr
Posted
52 days ago
Freshness
Confirmed live yesterday
Closes
Jul 20, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $199k
This role $175k
$128k most similar roles pay here $254k

This role pays less than 61% of similar roles. Most pay $162,000–$235,750 — the shaded band above. At the midpoint, this role pays about $175k versus about $199k for comparable roles.

Based on 239 similar postings.

Employer

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 367 open roles on FindRole.

Listed pay typically runs $166,400–$249,600 across 367 roles with salary data.

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At a glance

TL;DR · Lead AI Solutions Architect, Supply Chain

Lead AI Solutions Architect, Supply Chain is a senior individual-contributor role within the Supply Chain Transformation team focused on developing and operationalizing AI-driven analytics. The successful candidate will design, build, and deploy AI/ML models and autonomous agents to optimize planning, inventory, logistics, network optimization, and S&OP. You will translate complex supply chain problems into data-driven solutions by performing exploratory analysis and scenario modeling across large datasets. Key responsibilities include creating Power BI dashboards, developing semantic models, and implementing natural-language analytics via ThoughtSpot. The role requires technical expertise in Python or R, experience with LLMs, prompt engineering, and feature engineering. You will also integrate these solutions with enterprise platforms like SAP. This position addresses the challenge of transforming manual supply chain workflows into automated, proactive decision-making systems within a global environment.

What you'll do

  • Design, build, and deploy AI/ML models to optimize planning, inventory, logistics, and network operations.
  • Develop and operationalize AI agents to monitor supply chain signals and automate decision workflows.
  • Translate complex supply chain problems into structured, data-driven solutions through exploratory analysis and scenario modeling.
  • Create high-quality dashboards, semantic models, and KPI frameworks using Power BI and ThoughtSpot.
  • Partner with data engineering teams to ensure reliable datasets, feature engineering, and scalable model deployments.
  • Align analytics initiatives with business priorities by communicating insights to both technical and non-technical audiences.
  • Architect scalable data solutions that integrate seamlessly with enterprise platforms and supply chain systems.

What we're looking for

  • Bachelor's or master's degree in data science, Engineering, Operations Research, Supply Chain, Computer Science, or a related field.
  • Expertise in Python and/or R to build and deploy AI/ML models, generative solutions, or AI agents.
  • Proficiency in Power BI for data modeling, DAX, semantic layer design, and creating high-quality dashboards.
  • Experience with ThoughtSpot or similar search-driven and natural-language query analytics tools.
  • Ability to architect scalable data and analytics solutions integrated with enterprise platforms and supply chain systems.
  • Experience applying AI, data science, or analytics within planning, logistics, inventory, network optimization, or S&OP workflows.
  • Knowledge of optimization techniques such as linear programming and heuristics, and experience integrating analytics with ERP systems like SAP.
  • Familiarity with LLMs, prompt engineering, and enterprise agent frameworks to create explainable and user-friendly solutions.

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