# Staff Engineer, Ford Pro Intelligence

**Company**: Ford Motor Company
**Location**: United States
**Work arrangement**: remote
**Experience**: staff
**Job type**: full-time
**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/63719?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_c752ec59-625

## Description

We are looking for a visionary Staff Engineer to serve as the technical North Star for our data and AI-driven platforms. In this role, you will be responsible for the evolution of our core architecture, moving us toward a future where real-time data processing and AI are seamlessly integrated into every facet of our product.

As our data ecosystem grows in complexity, we need a leader who can navigate the intersection of high-performance backend engineering and modern AI capabilities. You will tackle "unsolved" problems,designing systems that handle petabytes of data with millisecond latency, architecting multi-tenant API ecosystems, and building the infrastructure that delights our customers who are leveraging our AI solutions for their everyday work.

**Key Responsibilities:"

- Architectural Leadership: Design and oversee the implementation of highly scalable, distributed backend systems and microservices using Java, Kotlin, and Python.

- Data Strategy: Define the data architecture and modeling standards for both relational (SQL) and non-relational systems, ensuring data integrity, security, and high availability.

- Streaming & Batch Processing: Lead the design of real-time data pipelines (e.g., using Dataflow, Pub/Sub, or Kafka) and batch processing frameworks to handle petabyte-scale data efficiently.

- AI Integration: Drive the "AI-first" engineering culture by integrating LLMs, machine learning models, and RAG (Retrieval-Augmented Generation) patterns into production workflows using GCP Vertex AI.

- Cloud Excellence: Optimize GCP infrastructure for performance and cost, leveraging GKE, BigQuery, and Cloud Spanner to support global-scale operations.

- API & Ecosystem Design: Set the standard for API development (REST, GraphQL, gRPC), ensuring seamless integration across internal services and external partners.

- Technical Governance: Conduct architecture reviews, define CI/CD best practices, and ensure the team maintains a high bar for code quality, testing, and observability.

- Mentorship: Act as a force multiplier by mentoring Senior Engineers, fostering a culture of continuous learning and technical excellence.

**Requirements:"

- Bachelor’s Degree in Computer Science, Data Science, or a related field

- 10+ years of professional software engineering experience, with at least 5 years using Python and SQL

- 5 years experience building and consuming APIs to drive complex data integrations across distributed systems.

- 5 years experience migrating or building large-scale architectures on GCP.

- 4+ years in a Senior or Staff capacity, overseeing large-scale distributed systems.

- 2+ years Practical experience using LLM APIs or building GenAI-enabled applications

- Experience in a "Product-led" engineering environment where you have directly influenced product features through technical capability.

**Preferred Qualifications:"

- Contributions to Open Source projects or a recognized presence in the tech community (talks, blogs, etc.)

- Experience with MLOps frameworks (Kubeflow, MLflow)

- Advanced degree (MS or PhD) in Computer Science, Data Science, or a related field

## Skills

### Required
- Java
- Python
- Kotlin
- GCP
- BigQuery
- Dataflow
- Pub/Sub
- Kafka
- LLMs
- Machine Learning
- RAG
- Vertex AI
- GKE
- Cloud Spanner
- API Development
- REST
- GraphQL
- gRPC
- CI/CD
- Code Quality
- Testing
- Observability

### Nice to have
- Open Source
- Tech Community
- Talks
- Blogs
- MLOps
- Kubeflow
- MLflow
- Advanced Degree

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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/63719?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)