Senior AI Architect - Supply Chain & LLMs

General Mills; Minneapolis (MN); On-site; USD 150,000 - 249,000; Full time

Benefits offered by this job

Total Rewards package

Job summary

General Mills in Minneapolis seeks a Principal Data Scientist to strategize enterprise AI, spanning NLP, optimization, and machine learning, with a focus on Supply Chain.

You will mentor data scientists, shape architecture, ensure security and governance, and partner with engineering and product teams to deliver scalable, production-ready models.

This role emphasizes responsible AI, repeatable pipelines, and measurable business impact across the enterprise.

Qualifications

• 10+ years of experience in data science with end-to-end ownership from problem framing to production impact.
• Advanced degree in a quantitative field such as Data Science, CS, Engineering, Statistics, Math, OR.
• Strong expertise in statistical modeling, ML, and optimization with complex business problems.
• Hands-on experience deploying scalable AI/ML solutions on a major cloud platform (GCP).
• Proven track record of building and operating production-grade models and decisioning systems at scale.

Responsibilities

• Lead end-to-end AI solutions and systems focused on Supply Chain decisioning.
• Define, prioritize, and deliver production-grade AI/ML products and services.
• Architect and oversee LLMs, NLP, and computer vision projects across enterprise platforms.
• Provide technical oversight of data science methods with governance and validation.

Skills

Data science

Statistical modeling

Machine learning

Optimization

Technical leadership

Education

Advanced degree in a quantitative field

Tools

GCP

CI/CD for models

Version control

Job description

General Mills in Minneapolis seeks a Principal Data Scientist to strategize enterprise AI, spanning NLP, optimization, and machine learning, with a focus on Supply Chain.

You will mentor data scientists, shape architecture, ensure security and governance, and partner with engineering and product teams to deliver scalable, production-ready models.

This role emphasizes responsible AI, repeatable pipelines, and measurable business impact across the enterprise.