Job Description

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to change the way the world moves?

As a global leader in advanced mobility solutions, our outstanding team of software engineers and AI specialists helps us navigate the continually changing technology landscape. In our IT organization, you’ll be part of a team that collaborates globally to deliver cutting-edge, LLM-powered applications and robust multi-cloud infrastructure to client groups throughout the company.

In this position...

Shape the future of enterprise productivity through AI. You will be instrumental in building intuitive React frontends and robust Python backends applications powered by Large Language Models (LLMs). Your work will directly empower employees and business users globally by bringing intelligent, AI capabilities, making a tangible difference in how Ford collaborates.

Drive the evolution of our multi-cloud architecture. This role offers a unique opportunity to architect and manage highly scalable deployments across Google Cloud Platform (GCP) and Microsoft Azure. You will play a key role in developing secure, high-performance infrastructure—from GCP Cloud Run and PostgreSQL to complex Azure networking configurations in our China (CN) regions—ensuring a unified and resilient global cloud approach.

Expand your expertise with diverse, high-impact cloud operations. Beyond application development, you will have the flexibility to support critical DevOps and infrastructure needs. From optimizing compute resources and managing global traffic to implementing enterprise-grade security and logging, this versatility will accelerate your professional development and provide a comprehensive understanding of cloud operations at an iconic company.

What you'll do...

• You will lead the design, development, and deployment of scalable backend services using Python and dynamic frontend interfaces using React.
• You will integrate and optimize Large Language Models (LLMs) into custom enterprise applications, focusing heavily on building deep, seamless integrations within Microsoft Teams.
• You will architect and maintain multi-cloud infrastructure, deploying containerized applications via Container Registry and GCP Cloud Run, while managing relational data with GCP PostgreSQL and Azure SQL Database (General Purpose).
• You will oversee complex Azure networking components, including Azure Gateway, Load Balancers, Public IP addresses, Traffic Manager (Non-Azure Endpoints), and Virtual Network Peering (Intra-Region Ingress - CN).
• You will manage and optimize cloud compute and storage resources, specifically utilizing Azure Storage and Azure Virtual Machines (BS Series - E2 and E8 in the CN North 3 region) to ensure cost-effective performance.
• You will secure and monitor cloud environments by configuring Microsoft Defender for Resource Manager (Standard Events - CN) and managing Log Analytics for pay-as-you-go data ingestion.

You'll have...

• You'll have 5 years of experience or an equivalent combination of relevant education and experience in software engineering, cloud architecture, or AI development.
• Experience with Python, React, and integrating Large Language Models (LLMs) into production applications.
• Hands-on experience deploying and managing infrastructure in both Google Cloud Platform (GCP) and Microsoft Azure.

Even better, you may have...

• Expertise in Azure networking, compute, and security specifically within China (CN) regions (e.g., CN North 3, Intra-Region Ingress).
• Proven experience building custom integrations, bots, or applications utilizing the Microsoft Teams SDK and Graph API.
• Familiarity with modern containerization practices and managed database services (GCP PostgreSQL, Azure SQL).
• Experience implementing cloud monitoring and security tools like Microsoft Defender for Resource Manager and Azure Log Analytics.
• Professional cloud certifications (e.g., Azure Solutions Architect, Google Cloud Professional Cloud Architect).

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

This position is hybrid. Candidates will be required to be onsite four or more days per week.