The Role
Design, build, integrate, and operate enterprise-scale AI security and DevSecOps platforms. Embed security into developer workflows and CI/CD, automate security processes, support vulnerability remediation, enable secure AI development, and drive adoption of emerging security technologies and developer enablement.
Summary Generated by Built In
- As a Senior Platform Engineer – Secure AI DevSecOps, you will design, build, integrate, and operate enterprise-scale security platforms that support secure software development and AI-powered solutions. Working closely with Cybersecurity, Platform Engineering, and application development teams, you will embed security into developer workflows, automate security processes, and improve visibility across the software development lifecycle.This role offers a unique opportunity to shape Ford's next generation of AI security and DevSecOps capabilities while enabling engineering teams to build secure, scalable, and innovative solutions.
Platform Engineering & Security
Qualifications- Engineer, integrate, and operate AI Security and DevSecOps platforms supporting secure software delivery.
- Build scalable security capabilities that improve automation, operational efficiency, and developer productivity.
- Integrate security controls into developer workflows, CI/CD pipelines, and engineering platforms.
- Develop self-service capabilities, onboarding experiences, and developer enablement resources.
- Perform platform administration, upgrades, monitoring, troubleshooting, optimization, and production support.
- Engineer and support AI-powered code security solutions and emerging AI security technologies.
- Enable secure AI development practices across AI applications, agents, LLM-powered systems, and AI integrations.
- Improve security visibility through dashboards, metrics, reporting, and operational insights.
- Support vulnerability remediation through enhanced developer workflows and automated feedback mechanisms.
Implement and support security capabilities including:
- Static Application Security Testing (SAST)
- Software Composition Analysis (SCA)
- Secrets Detection
- Infrastructure-as-Code Security
- Container Security
- Software Supply Chain Security
- AI-Assisted Code Security
- Evaluate emerging security technologies and drive successful proof-of-concepts into enterprise adoption.
- Continuously improve the reliability, scalability, and usability of security platforms.
Required Qualifications
- Bachelor's degree in Computer Science, Software Engineering, Cybersecurity, or a related technical field.
- 8+ years of experience in Platform Engineering, DevSecOps, Application Security, or Cybersecurity Engineering.
- Proven experience designing, implementing, and operating enterprise-scale security platforms.
- Strong understanding of:
- Secure Software Development Lifecycle (SSDLC)
- DevSecOps practices
- Developer workflows and platform engineering
- Strong scripting and automation experience using:
- Python
- PowerShell
- Shell Scripting
- Similar programming languages
- Experience integrating security solutions into CI/CD pipelines and enterprise developer platforms.
- Hands-on experience with:
- GitHub Enterprise, GitHub Actions, GitLab CI/CD, Azure DevOps, or Tekton
- Kubernetes and container platforms
- Terraform and Infrastructure as Code
- Public cloud platforms (Azure, AWS, or GCP)
- Knowledge of application security concepts including SAST, SCA, secrets management, and software supply chain security.
- Strong communication and stakeholder management skills.
- Ability to translate security requirements into scalable engineering solutions.
Preferred Qualifications
- Experience with AI security technologies and platforms such as:
- Microsoft MDASH
- Google CodeMender
- Cycode
- Wiz Code
- SonarQube
- FOSSA
- Similar AI-assisted security solutions
- Experience securing:
- Large Language Models (LLMs)
- AI Agents
- Retrieval-Augmented Generation (RAG) systems
- AI-integrated enterprise applications
- Experience with AI governance and secure AI development practices.
Preferred Certifications
- CISSP
- CSSLP
- GIAC Cloud Security Automation (GCSA)
- Google Professional Cloud Security Engineer
- Microsoft Azure Security Engineer Associate
- AWS Security Specialty
- Certified Kubernetes Security Specialist (CKS)
- HashiCorp Terraform Associate
GitHub Advanced Security Certification
#LI-MF2
Skills Required
- Bachelor's degree in Computer Science, Software Engineering, Cybersecurity, or related technical field
- 8+ years experience in Platform Engineering, DevSecOps, Application Security, or Cybersecurity Engineering
- Proven experience designing, implementing, and operating enterprise-scale security platforms
- Strong understanding of Secure Software Development Lifecycle (SSDLC) and DevSecOps practices
- Experience with developer workflows and platform engineering
- Strong scripting and automation experience using Python, PowerShell, Shell scripting, or similar
- Experience integrating security solutions into CI/CD pipelines and enterprise developer platforms
- Hands-on experience with GitHub Enterprise, GitHub Actions, GitLab CI/CD, Azure DevOps, or Tekton
- Hands-on experience with Kubernetes and container platforms
- Hands-on experience with Terraform and Infrastructure as Code
- Experience with public cloud platforms (Azure, AWS, or GCP)
- Knowledge of application security concepts including SAST, SCA, secrets management, and software supply chain security
- Strong communication and stakeholder management skills
- Ability to translate security requirements into scalable engineering solutions
- Experience with AI security technologies and AI-assisted security platforms (e.g., Microsoft MDASH, Google CodeMender, Cycode, Wiz Code, SonarQube, FOSSA)
- Experience securing LLMs, AI Agents, RAG systems, and AI-integrated enterprise applications
- Experience with AI governance and secure AI development practices
- Preferred certifications such as CISSP, CSSLP, GCSA, Google Professional Cloud Security Engineer, Microsoft Azure Security Engineer Associate, AWS Security Specialty, CKS, HashiCorp Terraform Associate, GitHub Advanced Security Certification
Ford Motor Company Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ford Motor Company and has not been reviewed or approved by Ford Motor Company.
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Healthcare Strength — Medical, dental, and vision coverage start on day one with options that include zero-premium plans, free mental health support, and wellness resources. For represented hourly employees, health plans are described as low-cost with strong coverage value.
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Retirement Support — A 401(k) with company match and additional company contributions is available from day one, alongside life and disability coverage. Pension eligibility in certain situations and financial-planning support reinforce long‑term security.
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Parental & Family Support — Paid parental leave, fertility, surrogacy, and adoption benefits, plus a ramp‑up program for returning parents, reflect a family‑focused package. Flexible Family Care days and generous time‑off options help address short‑term caregiving and personal needs.
Ford Motor Company Insights
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The Company
What We Do
Ford is a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet. We are here to provide the means for every person to move and pursue their dreams, serving as a bridge between personal freedom and the future of mobility. In that pursuit, our 186,000 employees around the world help to set the pace of innovation every day.
