Job description

ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And we’re looking for talent who feel the same: people who want to leave the planet better than they found it, those who don’t shy away from humanity’s challenges but are determined to help solve them. AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you’re designing next-gen processors, enabling AI breakthroughs, or creating go-to-market plans, every role at AMD contributes to something bigger — technology that moves the world forward. THE ROLE:    In this highly visible role, you will help architect, develop, and operationalize AI‑driven analytics solutions that transform AMD’s end‑to‑end supply chain. You will work across planning, logistics, inventory, transformation, and factory operations to turn complex challenges into actionable insights and autonomous decisioning. This is a senior individual-contributor role with future growth into people leadership, supporting the rapid expansion of AI capabilities within Supply Chain Transformation. You’ll partner globally across teams, influence technical and architectural decisions, and help drive clarity in a fast‑moving, ambiguous environment. THE PERSON:    You thrive in dynamic, “gray‑area” environments and bring a balanced blend of technical depth, architectural thinking, and strong communication skills. You are comfortable managing shifting priorities, collaborating across functions, and working with global partners across time zones. You naturally provide structure and clarity, can manage upward, and enjoy enabling others as AI capabilities scale.    KEY RESPONSIBILITIES:    • Design, build, and deploy AI/ML models and advanced analytics that improve planning, inventory, logistics, network optimization, and S&OP, while architecting scalable data and analytics solutions that integrate seamlessly with enterprise platforms and supply chain systems. • Develop and operationalize AI agents that continuously monitor supply chain signals, surface proactive insights, recommend actions, and automate decision workflows to enable a more autonomous supply chain environment. • Translate ambiguous and complex supply chain problems into structured, data-driven solutions by performing exploratory analysis, scenario modeling, root‑cause investigations, and optimization across large datasets. • Create high‑quality dashboards, semantic models, and KPI frameworks in Power BI; enable search‑driven and natural‑language analytics through ThoughtSpot; and establish best practices for visualization and data storytelling. • Partner closely with data engineering teams to ensure reliable, well‑modeled datasets, while supporting pipeline development, feature engineering, and model deployment to production with an emphasis on scalability, explainability, and maintainability. • Collaborate across Supply Chain, IT, and Transformation teams to align analytics initiatives with business priorities; communicate insights effectively to technical and non‑technical audiences; mentor junior contributors; and operate fluidly in a global, fast‑changing environment requiring flexibility across time zones. PREFERRED EXPERIENCE:    • Expertise in Python and/or R, with hands‑on experience building and deploying AI/ML models, generative solutions, or AI agents that automate insights, recommendations, or actions. • Strong capability in Power BI (data modeling, DAX, semantic layer design) and familiarity with ThoughtSpot or similar search/NLQ analytics tools. • Demonstrated 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 within planning, logistics, inventory, network optimization, S&OP, or other supply‑chain‑relevant workflows. • Experience with feature engineering, production pipelines, and deploying models/agents into repeatable, maintainable operating environments. • Knowledge of optimization techniques (linear programming, heuristics) and experience integrating analytics with ERP systems such as SAP. • Exposure to LLMs, prompt engineering, and enterprise agent frameworks, with the ability to design solutions that are explainable and user‑friendly. • Ability to work effectively in global teams, manage shifting priorities, collaborate across functions, and communicate clearly with leadership and technical partners. • Prior experience in a semiconductor supply chain is a plus but not required . ACADEMIC CREDENTIALS:    • Bachelor’s or master’s degree in data science, Engineering, Operations Research, Supply Chain, Computer Science, or related field. This role is not eligible for visa sponsorship. #LI-LC2 #LI-Hybrid Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.

Requirements

Must-haves

ADVANCE YOUR CAREER. ADVANCE THE WORLD.
Develop and operationalize AI agents that continuously monitor supply chain signals, surface proactive insights, recommend actions, and automate decision workflows to enable a more autonomous supply chain environment.
Translate ambiguous and complex supply chain problems into structured, data-driven solutions by performing exploratory analysis, scenario modeling, root‑cause investigations, and optimization across large datasets.
Bachelor’s or master’s degree in data science, Engineering, Operations Research, Supply Chain, Computer Science, or related field.
Benefits offered are described: AMD benefits at a glance .
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.

Nice-to-haves

Expertise in Python and/or R, with hands‑on experience building and deploying AI/ML models, generative solutions, or AI agents that automate insights, recommendations, or actions.
Strong capability in Power BI (data modeling, DAX, semantic layer design) and familiarity with ThoughtSpot or similar search/NLQ analytics tools.
Demonstrated 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 within planning, logistics, inventory, network optimization, S&OP, or other supply‑chain‑relevant workflows.
Experience with feature engineering, production pipelines, and deploying models/agents into repeatable, maintainable operating environments.
Knowledge of optimization techniques (linear programming, heuristics) and experience integrating analytics with ERP systems such as SAP.
Exposure to LLMs, prompt engineering, and enterprise agent frameworks, with the ability to design solutions that are explainable and user‑friendly.
Ability to work effectively in global teams, manage shifting priorities, collaborate across functions, and communicate clearly with leadership and technical partners.
Prior experience in a semiconductor supply chain is a plus but not required .

Application prep

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Keywords to mirror

aigomlpython

Platform: amd
Effort: medium