Director, Digital & AI Consumer Engineering at Ford Global Career Site

Dearborn, Michigan, United States -

Full Time

Start Date

Immediate

Expiry Date

09 Mar, 26

Salary

0.0

Posted On

09 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud Platforms, Containerization, Microservices, API Design, DevOps Practices, Software Engineering, AI Technologies, Recommendation Systems, Natural Language Processing, Computer Vision, Agile Methodologies, Project Management, Analytical Skills, Problem-Solving Skills, Technical Leadership, Performance Management

Industry

Motor Vehicle Manufacturing

Description

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 Establish clear career progression paths, implement effective performance management, and create mentorship programs that develop next-generation technical leaders with teams and with peers Ensure delivery of high-quality, scalable software products that meet aggressive timelines while maintaining rigorous quality standards 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. 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. Master's degree in Computer Science, Engineering, Machine Learning, or related technical field. Proven track record of scaling engineering organizations and delivering complex products in fast-paced, ambiguous environments. Exceptional communication skills with ability to influence cross-functional teams and present to executive audiences. 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; alternatively, expertise in AI platforms (Gemini, Cresta, etc.) is a plus. Knowledge of banking, insurance, lending, or investment products and associated regulatory environments. For more information on salary and benefits, click here: New Hire Benefits Visa sponsorship is not available for this position. Verification of employment eligibility will be required at the time of hire. Manage stakeholder expectations while advocating for technical investments and engineering resources necessary for long-term success Established and active employee resource groups

Responsibilities

Champion engineering best practices and engage in architecting scalable systems. Lead the development of AI-powered tools to drive customer engagement and revenue growth.