Principal AI/ML Engineer (Cybersecurity & AIOps)

Ford Pro; Dearborn (MI); Hybrid; USD 132,800 - 250,800; Full time

Benefits offered by this job

Immediate medical, dental, and vision coverage

Tuition assistance

Paid time off for community service

Vehicle discount program

Job summary

Ford Pro in Dearborn, MI, seeks a Principal AI/ML Engineer specializing in advanced AI/ML solutions for cybersecurity and enterprise risk detection. Ideal candidates will possess 12+ years of experience and strong skills in Python and SQL.

This hybrid role demands leadership in AI initiatives across the organization and involves building machine learning models, collaborating across teams, and translating technical results into business insights.

Comprehensive benefits include medical coverage, paid parental leave, and generous holidays.

Qualifications

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

Responsibilities

• Lead the design, development, and deployment of advanced AI/ML solutions focused on cybersecurity.
• Collaborate with cybersecurity, network engineering, and IAM teams to identify opportunities for AI-driven optimization.
• Architect end-to-end ML pipelines ensuring scalability, reliability, and integration.

Skills

Python

SQL

AI/ML solution delivery

Machine learning model development

Cybersecurity concepts

Data visualization

Agile tools (JIRA)

Cloud platforms (Azure, AWS, GCP)

Education

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

Tools

Power BI

Job description

Principal AI/ML Engineer (Cybersecurity & AIOps)

Dearborn, MI, United States (Hybrid)

Job Description

The Principal Engineer – AIOps role at EPEO requires 12+ years of experience in AI/ML and software engineering with strong skills in Python, SQL, and cloud platforms. This position focuses on designing and deploying advanced AI/ML solutions for Security (Cyber & Identity Management), network analytics, enterprise risk detection and thus strengthening the security posture across Ford skill teams such as ET, Credit, Ford Pro, AV, EV, Industrial systems, Ford PDO's etc.

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.

Benefits

• Immediate medical, dental, vision and prescription drug coverage.
• Flexible family care days, paid parental leave, new parent ramp‑up programs, subsidized back‑up child care and more.
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments and more.
• Vehicle discount program for employees and family members and management leases.
• Tuition assistance.
• Established and active employee resource groups.
• Paid time off for community service.
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day.
• Paid time off and the option to purchase additional vacation time.

Compensation

This position is leadership level 6 and ranges from $132,800 to $250,800. Final determination of salary grade will be based on candidate’s skills and experience.

Visa Sponsorship

Visa sponsorship is available for this position.

Equal Opportunity

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1‑888‑336‑0660.

Hybrid Work

This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week.