AI Engineer – On-site
Ford Motor is seeking an AI Engineer to contribute to the design, deployment, and operation of production data and AI systems on a GCP-native stack (including Vertex AI). This role focuses on improving system reliability and supporting incident response while working closely with data engineering teams and application data source owners. The position also involves promoting and applying strong code quality practices.
Key Responsibilities
- Deploy, operate, and maintain data and AI systems in production on a GCP-native stack, including Vertex AI.
- Participate in incident response and drive reliability improvements for data and AI services.
- Partner with data engineers and application data source owners to ingest, validate, map, and…
- Advocate for and implement code quality practices across projects and teams.
Required Qualifications
- At least 3 years deploying data and AI systems to production on a GCP-native stack, including experience with Vertex AI.
- Experience with incident response and implementing reliability improvements.
- Familiarity with and commitment to code quality practices.
What We Value
- Collaborative mindset and the ability to work effectively with data engineers and application teams.
- Focus on operational excellence for production AI and data systems.
If you meet the qualifications above and are interested in helping Ford advance its production AI capabilities on GCP, we encourage you to apply.
