SCPO AI Lead: Production-Ready Supply Chain Intelligence

Intel Corporation; Santa Clara (CA); Hybrid; USD 171,000 - 315,000; Full time

Benefits offered by this job

Stock bonuses

Health benefits

Retirement plan

Paid time off

Hybrid work model

Job summary

Intel Corporation in the US is hiring an AI Software Architect to lead SCPO AI initiatives within supply planning operations. The role defines AI strategy, builds data stitching layers, and delivers production ML capabilities that monitor supply execution and guide timely intervention.

The ideal candidate has 8+ years in ML/AI engineering, strong Python/SQL, and experience deploying ML solutions in enterprise data environments; collaboration across planning, manufacturing, and IT teams is

Qualifications

• Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Industrial Engineering, Operations Research, Applied Mathematics, or related quantitative field.

Responsibilities

• Define and execute the SCPO AI strategy, architecture, and standards.
• Architect and operationalize a trusted data stitching layer across POR, LRP, SnOP, ERP, and other planning data sources.
• Develop production ML capabilities for time-series analysis, anomaly detection, root-cause identification, and risk sensing.
• Integrate AI outputs with enterprise planning systems using APIs, data pipelines, monitoring, and governance.
• Build agentic workflows with human-in-the-loop controls and narrative generation.

Skills

ML engineering

AI engineering

Data science

Data engineering

Optimization

Leadership

Education

Bachelor's degree in Computer Science or related quantitative field

Tools

Python

SQL

Job description

Intel Corporation in the US is hiring an AI Software Architect to lead SCPO AI initiatives within supply planning operations. The role defines AI strategy, builds data stitching layers, and delivers production ML capabilities that monitor supply execution and guide timely intervention.

The ideal candidate has 8+ years in ML/AI engineering, strong Python/SQL, and experience deploying ML solutions in enterprise data environments; collaboration across planning, manufacturing, and IT teams is