Principal AI/ML Engineer (Cybersecurity & AIOps)

Job Overview

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.

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.

Requirements

• 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

Qualifications

• Master’s or PhD in Computer Science, Data Science, Engineering, or related field
• 15+ years of experience in software engineering, data science, or AI/ML solution delivery
• Proven track record of leading large-scale AI/ML projects
• Expertise in multiple AI/ML frameworks and tools
• Experience with distributed systems and cloud-native architectures
• Strong background in cybersecurity and risk management
• Leadership experience in cross-functional teams

Skills

• Advanced knowledge of Python, R, and other relevant programming languages
• Experience with cloud platforms (AWS, Azure, GCP)
• Hands-on experience with machine learning libraries and frameworks (TensorFlow, PyTorch, Scikit-Learn)
• Experience with data preprocessing, feature engineering, and model selection techniques
• Experience with data visualization tools (Tableau, Power BI)
• Experience with agile methodologies and project management tools (JIRA, Confluence)
• Experience with cybersecurity concepts, network architectures, and IAM

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 individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year’s Day

Pay

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.

Schedule

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.