# Principal AI/ML Engineer (Cybersecurity & AIOps)

**Company**: Ford Motor Company
**Location**: Dearborn
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $132,800-$250,800
**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/64160?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_db9121eb-ca4

## Description

As a Principal AI Engineer, you will serve as a strategic technical leader responsible for the vision, architecture, and execution of AI/ML initiatives across the enterprise. You will bridge the gap between complex data science and mission-critical security operations, designing intelligent systems that detect risks, optimize network performance, and automate threat response. This is a high-impact leadership role requiring a blend of hands-on engineering excellence, architectural oversight, and the ability to influence cross-functional stakeholders.

Responsibilities:

- Lead the design, development, and deployment of advanced AI/ML solutions focused on cybersecurity, network analytics, and enterprise risk detection.

- Build and operationalize machine learning models, including anomaly detection, predictive analytics, and classification systems for security and network use cases.

- Drive the implementation of Generative AI and Agentic AI solutions to enhance automation, threat intelligence, and decision-making workflows.

- Collaborate with cybersecurity, network engineering, and IAM teams to identify opportunities for AI-driven optimization and risk mitigation.

- Architect end-to-end ML pipelines, ensuring scalability, reliability, and integration with enterprise systems.

- Work hands-on with data,ingestion, preprocessing, feature engineering, and model tuning,to deliver production-grade solutions.

- Translate complex technical outcomes into business insights using dashboards and visualizations (e.g., Power BI) for stakeholders and leadership.

Qualifications:

- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field

- 12+ years of experience in software engineering, data science, or AI/ML solution delivery

- Proven experience in designing, building, and deploying scalable AI/ML solutions in enterprise environments

- Strong programming skills in Python and proficiency in SQL

- Hands-on experience in machine learning model development, evaluation, and deployment

- Working knowledge of cybersecurity concepts, network architectures, and Identity & Access Management (IAM)

- Experience with data visualization tools such as Power BI (or equivalent)

- Familiarity with Agile tools such as JIRA

- Exposure to cloud platforms (Azure, AWS, or GCP) and MLOps practices

- Strong problem-solving, stakeholder management, and communication skills

## Skills

### Required
- Python
- SQL
- Machine Learning
- Data Science
- Cybersecurity
- Network Analytics
- Enterprise Risk Detection
- Generative AI
- Agentic AI
- Cloud Platforms
- MLOps Practices

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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/64160?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)