Intel
Supply Chain Planning and Operations (SCPO) AI Lead
$170K–$315K
US, California, Folsom +3 · Full-time · Posted Oct 31, 2026
- Location
- US, California, Folsom
US, Oregon, Hillsboro
US, California, Santa Clara
US, Arizona, Phoenix - Experience
- 8+ years in the listed technical areas and responsibilities.
- Education
- Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Industrial Engineering, Operations Research, Applied Mathematics, or a related quantitative field.
- Visa sponsorship
- Not eligible for Intel immigration sponsorship.
About the job
Leads the strategy and development of production AI and data capabilities that connect supply-chain planning systems, detect execution risks, and support explainable operational decisions.
What you'll do
- Architect and operationalize data stitching, reconciliation, governance, and monitoring across planning and execution systems.
- Develop production AI, machine-learning, scenario-analysis, and agentic workflows for supply-risk detection and decision support.
- Establish engineering and MLOps practices, integrate solutions into operational workflows, and lead cross-functional delivery.
What they ask for
- Bachelor's degree in a listed or related quantitative field.
- 8+ years of experience in machine-learning/AI engineering, data science, data engineering, optimization, or related technical roles, including leadership of complex production deployments.
- 8+ years of experience architecting, deploying, and operating production ML solutions on complex enterprise data.
- 8+ years of experience with Python, strong SQL, enterprise data pipelines and APIs, and leading cross-functional technical work.
Nice to have
- Master's degree in a relevant technical or quantitative discipline.
- Experience in manufacturing or supply planning, enterprise planning platforms, cloud data and AI, generative AI, scenario applications, or technical team leadership.
Pay
$170,500.00-315,490.00 USD (target compensation; base or total pay not specified)
Tools
Python, SQL, SAP, Kinaxis Rapid Response, Oracle
AI focus
Defines and delivers production AI for supply-risk sensing, anomaly detection, root-cause analysis, explainable alerts, scenario analysis, and agentic workflows, with human oversight and responsible-AI governance.
Model-written summary · the original posting is authoritative