Software Engineer - Gen AI

Ford • Allen Park, MI

12h • Hybrid

About The Position

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation.
The Global Data Insight & Analytics organization is looking for a Software Engineer - Gen AI to help build and drive the development of generative AI applications that will transform the future of mobility. In this role, you will work in a dynamic, cross-functional team, collaborating directly and continuously with engineers, business partners, product managers, and designers. You will be responsible for developing cutting-edge generative AI applications and systems that can be deployed across various domains within Ford, enabling smarter decision-making, enhancing customer experiences, and optimizing operations.

Requirements

• Bachelor's degree in Computer Science / Computer Engineering or a similar technical discipline.
• 3+ years of work experience as a backend software engineer in Python with exceptional software engineering knowledge.
• Advanced working knowledge of object-oriented/object function programming languages: Python, C/C++.
• Strong proficiency with web frameworks and REST API (e.g., FastAPI, Flask, Django).
• Experience/understanding in MLOps, Gen AI, AI agents.
• Experience with ML workflow orchestration tools: Airflow, Kubeflow etc.
• Experience in DevOps and CI/CD principles: Jenkins, Tekton, Cloud Build, GitHub Actions etc.
• Experience with scripting language: Bash, PowerShell etc.
• 2+ years of experience with Cloud Engineering, with familiarity in at least one major cloud platform (GCP, AWS, Azure).
• Experience with cloud services, preferably GCP Services like Vertex AI, Cloud Function, Cloud Run, BigQuery etc.
• Experience in container management solutions: Kubernetes, Docker.
• Experience with Infrastructure as Code: Terraform etc.

Responsibilities

• Work closely with Tech Anchors, Product Managers, and Product Owners to deliver generative AI solutions on GCP using Python and a modern, full-stack architecture.
• Work with software and ML engineers to tackle challenging problems in building and deploying agentic AI solutions.
• Design, build, and maintain cloud infrastructure using Infrastructure as Code (IaC) principles, managing configurations for dev, staging, and prod environments.
• Maintain and manage current CI/CD ecosystem and tools.
• Find ways to automate and continually improve current CI/CD and release processes.
• Examine, inspect code and scripts, and resolve issues across the full application stack.
• Help innovate and standardize development practices for building cloud-native AI products.
• Experiment, innovate and share knowledge with the team.
• Lead by example in the use of Paired Programming and Test-Driven Development for cross-training, problem-solving, and speed to delivery.
• Leverage latest ML / GenAI / agent frameworks to build complex AI workflows.

Benefits

• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
• Paid time off and the option to purchase additional vacation time

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level