Generative AI Engineer - Ford Pro Intelligence
Ford Motor Company
- Location
- Hybrid (Bellevue, WA)
- Compensation
- $118k - $232k/yr
- Employment
- Full-time
- Level
- Senior Level
About the Role
Ford Pro Intelligence develops data and AI-powered products to enhance commercial fleet management, safety, and reliability. This role focuses on designing and developing production-ready LLM-powered applications that integrate natural language experiences with enterprise data and operational workflows.
Skills
Benefits
- Medical Insurance
- Dental Insurance
- Vision Insurance
- Prescription Drug Coverage
- Flexible Family Care Days
- Paid Parental Leave
- New Parent Ramp-up Programs
- Subsidized Back-up Child Care
- Adoption Expense Reimbursement
- Surrogacy Expense Reimbursement
- Fertility Treatments
- Tuition Assistance
- Paid Time Off
- Paid Holidays
- Paid Vacation Time
Perks
- Vehicle Discount Program
- Management Leases
- Employee Resource Groups
Full job details
Ford Pro Intelligence builds data and AI-powered products that help commercial customers manage fleets more efficiently, safely, and reliably.
Our team works across connected vehicle data, fleet operations, driver insights, service planning, charging workflows, and business intelligence to create software that helps customers make better decisions and take action.
You will design and develop LLM-powered applications that connect natural language experiences with enterprise data, cloud services, and operational workflows. You will work across agent orchestration, tool calling, prompt engineering, structured data grounding, evaluation, safety, observability, and production deployment.
This is a hands-on engineering role for someone who wants to build practical GenAI systems that solve real customer problems, not isolated prototypes.
In this role, you will:
- Ship production GenAI features that improve customer workflows
- Build reliable patterns for LLM integration, tool use, evaluation, and observability
- Improve the accuracy, latency, cost, and trustworthiness of AI-enabled systems
- Help teams move from prototypes to maintainable production services
- Partner across engineering, product, data, security, and business teams
- Contribute to responsible AI practices in an enterprise software environment
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