Job description

The Principal Engineer – AIOps role at EPEO requires 8+ 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. • 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. • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field • 8+ 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 You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including: • 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 individual and team 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. This position is leadership level 6 and ranges from $132,800-$250,800. Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value. For more information on salary and benefits, click here: fordcareers.co Visa sponsorship is available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. 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. 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. #LI-Hybrid #LI-GR1

Requirements

Must-haves

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.
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field
8+ 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
You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
Immediate medical, dental, vision and prescription drug coverage
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
A generous schedule of paid holidays, including the week between Christmas and New Year’s Day

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlpythonsqlmachine learningagilejiraazureawsgcp

Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

Paid Time Off

Parental Leave