We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to change the way the world moves?
The role of AI/ML Expert is responsible for securing the in-house & public AI and ML/DL systems against cyber threats, adversarial attacks, and data breaches. This specialist combines expertise in cybersecurity and AI/ML to design, implement, and maintain security frameworks, ensuring the integrity, confidentiality, and compliance of AI-driven solutions throughout their lifecycle. This also involves collaboration with cross-functional, stakeholders and AI Engineers to build and deploy enterprise-wide AI security framework.
You'll have...
Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field. 5+ years in AI/ML roles, including hands-on model development and deployment. Track record of delivering AI solutions that drive business value. Strong understanding of AI/ML concepts, architectures, and security challenges. Strong programming skills in Python, R, or similar languages. Strong experience in Google Cloud Platform (GCP) or equivalent. Solid understanding of machine learning algorithms, neural networks, NLP, and computer vision. Experience with cloud AI/ML services and deployment pipelines is a plus. Experience with security frameworks (e.g., SAIF, NIST, FAICP) and regulatory compliance. Proficiency in data protection techniques, encryption, and secure access management. Familiarity with adversarial machine learning, model hardening, and input sanitization. Knowledge of incident response, monitoring tools, and threat intelligence platforms. Excellent communication and documentation skills for policy development and stakeholder engagement.Even better, you may have…
Master’s degree in computer science, Data Science, Engineering, or a related field. Relevant certifications such as CAISF, AICERTs, AI for Cybersecurity Specialization or equivalent. GCP Cloud certification or equivalent in AWS or Azure. Cybersecurity certificates (CISSP, Security+, others).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.
For a detailed look at our benefits, click here:
https://fordcareers.co/GSR-HTHD
This position is a range of salary grades 7-8
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 committed to a culturally diverse workforce. 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.
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What you'll do...
Design and maintain structured guidelines and controls to secure AI systems, covering data protection, model security, and compliance requirements. Evaluate and utilize established frameworks such as Google’s Secure AI Framework (SAIF), NIST AI Risk Management Framework, or the Framework for AI Cybersecurity Practices (FAICP) as references or baselines. Identify, assess, and mitigate security risks specific to AI, including adversarial attacks, data poisoning, model inversion, and unauthorized access. Conduct regular vulnerability assessments and penetration testing on AI models and data pipelines. Ensure data used in AI systems is encrypted, anonymized, and securely stored. Implement robust access controls (e.g., RBAC, ABAC, Zero Trust) for sensitive AI data and models Protect AI models from tampering, theft, or adversarial manipulation during training and deployment. Monitor and log AI system activity for anomalies or security incidents Develop and enforce policies to ensure AI systems adhere to industry regulations, ethical standards, and organizational governance requirements. Promote transparency, explainability, and fairness in AI models. Establish real-time monitoring and advanced threat detection for AI systems. Develop and maintain an AI incident response plan for prompt mitigation and recovery. Educate teams on AI security best practices and foster a security-aware culture. Collaborate with IT, data science, compliance, and business units to align AI security with organizational goals.