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AI & Data Integration Engineer

Ford Motor Company

Salary not specified
Sep 30, 2025
Livonia, MI, US
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Ford Motor Company is seeking an AI and Data Integration Engineer to leverage advanced data analytics, develop AI-driven dashboards, and implement AI technologies to increase day-to-day efficiency and optimize processes within product development.

Requirements

  • Experience with SQL and Google Cloud Platform.
  • Experience with using Natural Language Processing (NPL) and Large Language Models (LLMs) to compare human generated text from "Unstructured Data."
  • Strong experience with SharePoint (Online, 2019, 2016), including its architecture and development tools.
  • Proven experience with Microsoft SQL Server, including database design, T-SQL scripting, and performance tuning.
  • Proficiency in programming languages such as C-Sharp, JavaScript, and web technologies like HTML and CSS.
  • Experience with SharePoint development tools such as Visual Studio, SharePoint Designer, and PowerShell.
  • Ability to analyze unstructured textual data and derive insights from it

Responsibilities

  • Leverage advance data analytics to blend multiple data sources and deliver actionable insights that clearly tell a story to stakeholders.
  • Develop and implement AI-driven dashboards in Qlik, using machine learning outputs as the foundation for interactive visualizations and decision making tools.
  • Develop and manage AI language models workflow to aid in product development and VA/VE.
  • Leverage domain expertise, statistical analysis and AI/ML modeling to optimize processes.
  • Design strategies to streamline data collaboration across teams, ensuring efficient knowledge sharing.
  • Establish AI powered workflows for data analysis and automation within SharePoints and related platforms.
  • Manage and maintain SharePoint sites, libraries and permissions.

Other

  • Bachelor’s degree in Computer Science, Information Technology, or a related field.
  • 2+ years of experience in data science focused on AI tools and integration.
  • Comfortable working in an environment where problems are not always well defined.
  • Strong analytical and problem-solving skills with meticulous attention to detail.
  • Self-starter who is able to work proficiently with minimal oversight