Dearborn, MI

Salary
$99,100–$166,200from the description
Posted
Aug 10, 2026
Location
Dearborn, MI
Last confirmed open
Sep 24, 2026

What this job asks for AI summary

A Senior AI Engineer role on Ford's FCSD Supply Chain analytics team, responsible for designing and deploying end-to-end data pipelines, machine learning models, and AI/GenAI solutions on Google Cloud Platform to optimize automotive parts supply chain and procurement operations. The role also involves building interactive Power BI dashboards and low-code Power Platform tools, and requires deep familiarity with FCSD supply chain datasets and processes.

Senior level · 5+ years · Detroit-Warren-Dearborn, MI · Bachelor's required · Full-time

Must have (8)
Python · 5+ yrsSQL · 5+ yrsGCP, AWS or AzureBigQueryCloud StorageDataflowPower BIMicrosoft Power Platform
Nice to have (8)
Vertex AILLMsApache Airflow or Cloud ComposerMLOpsPower AppsPower AutomatePub/SubCloud Functions

“or” means any one of them counts — you don't need all of them.

We read this from the posting text with AI. Skim the description below before ruling yourself out.

How this req sits in the market our data

Roughly 10 people in the Detroit-Warren-Dearborn, MI area plausibly meet what this posting asks for (data scientists). range 3–15

Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.

What gives you an edge
Microsoft Power Platform5%

Rare in this occupation — lead with these, and say what you built with them.

What won't set you apart
Python88%SQL72%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $105,602 (middle half $82,863–$137,683). This posting is about at that midpoint.

Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 12, 2026. It is a model, not a headcount.

Why we read it this way (5)

The role sits at the intersection of data science (ML/forecasting/statistics) and software engineering (pipeline/ETL development, AI agent building), making the SOC classification a genuine judgment call. Data science and quantitative modeling are the primary framing, with software engineering as the delivery mechanism — hence 15-2051 as primary, with 15-1252 as a close runner-up.

Domain expertise in Ford's FCSD supply chain processes and datasets is listed as a minimum requirement; this is an internal role and that knowledge is treated as a hard gate, though it cannot be represented as a named technology skill.

The Master's degree is listed as 'Highly Preferred' under the Preferred section, not as a hard requirement — the minimum stated is a Bachelor's degree.

Apache Airflow and Cloud Composer appear together as alternatives in the preferred section ('workflow orchestrators like Apache Airflow / GCP Cloud Composer'); both are listed separately but marked preferred.

The posting is hybrid (not fully remote); candidates near a Ford hub may be required onsite four or more days per week.

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