At Ford, we’re all a part of something bigger than ourselves, and this leadership role will drive the development of AI-powered financial services platforms, e-commerce solutions, and sales enablement technologies to transform how customers interact with Ford Credit.
Requirements
- Expertise in cloud platforms (AWS, Azure, GCP), containerization, microservices, API design, and DevOps practices
- Experience building secure, compliant financial applications with knowledge of payment processing, fraud detection, and regulatory requirements
- Experience with agile methodologies, project management, and balancing technical debt with feature delivery
- Strong analytical and problem-solving skills with data-driven decision-making approach
- Experience with specific AI applications such as recommendation systems, natural language processing, computer vision, or reinforcement learning
- Expertise in AI platforms (Gemini, Cresta, etc.) is a plus
- Knowledge of banking, insurance, lending, or investment products and associated regulatory environments
Responsibilities
- Champion engineering best practices including code quality, automated testing, continuous integration/deployment, and comprehensive monitoring and documentation across all development teams
- Engage in architecting scalable, secure, and high-performance systems capable of processing millions of transactions while maintaining sub-second response times
- Drive adoption of modern development methodologies, cloud-native architectures, and microservices patterns
- Lead development of AI-powered recommendation engines, personalization systems, and intelligent sales automation tools that drive customer engagement and revenue growth
- Stay current with emerging AI technologies and evaluate their potential application to financial services and e-commerce domains
- Build, lead, and mentor multiple engineering managers and teams (25-35 engineers) including full-stack developers and quality assurance specialists
- Foster a culture of technical excellence, innovation, continuous learning, and collaborative problem-solving
Other
- Bachelor's in Computer Science, Engineering, Machine Learning, or related technical field, or comparable industry experience or equivalent combination of relevant education and experience
- 10+ years of progressive software engineering experience with 5+ years in engineering leadership roles managing multiple teams
- Master's degree in Computer Science, Engineering, Machine Learning, or related technical field
- Exceptional communication skills with ability to influence cross-functional teams and present to executive audiences
- Visa sponsorship is not available for this position
