# Software Engineer, AI Enablement

**Company**: Ford Motor Company
**Location**: Dearborn, MI
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $97,140-$192,900
**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/65002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_af9f77b7-e3a

## Description

Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways.

We are seeking a Senior Software Engineer to design and build AI-powered agents that enable intelligent discovery, recommendation, and management of enterprise ontology assets. The ideal candidate combines strong software engineering skills with practical experience applying AI techniques to solve complex information discovery, recommendation, and search. This individual will evaluate alternative technical approaches, make architecture recommendations, and deliver scalable production solutions.

Responsibilities:

- Design and build AI-powered applications, agents, and intelligent workflows that improve discovery, recommendation, and management of enterprise ontology and metadata assets.

- Evaluate and recommend technical approaches for semantic search, knowledge management, retrieval, and recommendation challenges.

- Design and implement scalable backend services, APIs, and AI-enabled capabilities.

- Build retrieval, ranking, and recommendation systems that support intelligent user experiences.

- Collaborate with product managers, ontology experts, and domain stakeholders to translate business needs into technical solutions.

- Conduct technical evaluations and proof-of-concepts for emerging AI technologies.

- Drive architecture decisions, engineering best practices, and operational excellence.

Qualifications:

- Bachelor's degree in computer science, Information Systems, or a related field.

- 7+ years of professional experience in Data Science or Software Engineering building scalable production systems.

- 5+ years of experience working with Python/Java/Javascript/Angular programming languages.

- Experience in building autonomous agents using agent orchestration frameworks such as LangGraph/LangChain/Google ADK or Similar Technologies.

- Experience implementing tool integration patterns (MCP), agent communication protocols, and AI application observability.

- Experience with vector search or hybrid retrieval architectures.

- Experience working with GCP services (Vertex AI, Cloud Run, and BigQuery) or similar cloud platforms for deploying scalable AI solutions.

- Strong problem-solving and system design skills.

- Ability to evaluate competing technical approaches and articulate tradeoffs.

- Experience working with large, complex datasets and information management systems.

Even Better, you may have:

- Experience with semantic technologies, search, recommendation systems, or knowledge graphs.

- Experience working with graph databases, Graph-RAG applications.

## Skills

### Required
- Python
- Java
- Javascript
- Angular
- LangGraph
- LangChain
- Google ADK
- vector search
- hybrid retrieval architectures
- GCP services
- Vertex AI
- Cloud Run
- BigQuery
- problem-solving
- system design

### Nice to have
- semantic technologies
- search
- recommendation systems
- knowledge graphs
- graph databases
- Graph-RAG applications

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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/65002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)