# Generative AI Engineer - Ford Pro Intelligence

**Company**: Ford Motor Company
**Location**: Bellevue
**Work arrangement**: hybrid
**Experience**: mid
**Job type**: full-time
**Salary**: $118,700-$232,700
**Category**: Engineering
**Industry**: Automotive
**Wikidata**: https://www.wikidata.org/wiki/Q44294

**Apply**: https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/63512?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_69a3f072-874

## Description

You will design and develop LLM-powered applications that connect natural language experiences with enterprise data, cloud services, and operational workflows. 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

Design and improve LLM-based systems that can interpret user intent, retrieve context, call tools, interact with APIs, and coordinate multi-step workflows.

Develop systems that transform complex operational signals into concise summaries, recommendations, alerts, and decision-support experiences.

Build the foundations needed to operate GenAI systems responsibly in production, including:

- Evaluation datasets and test harnesses

- Prompt and workflow regression testing

- Groundedness and accuracy checks

- Guardrails and safety controls

- Prompt injection and misuse defenses

- Latency, cost, and quality monitoring

- Traceability for debugging AI behavior

## Skills

### Required
- LLM APIs
- GenAI-enabled applications
- Prompt engineering
- RAG
- Tool calling
- Function calling
- Structured model outputs
- SQL
- Structured data
- Cloud environment
- GCP

### Nice to have
- Agent orchestration
- Context and conversation state management
- Human-in-the-loop review patterns
- Integration with backend services and enterprise APIs

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Source: [Apply at efds.fa.em5.oraclecloud.com](https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/63512?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)