Ford Motor Company · 5 hours ago
Manager, AI Solutions & Engineering
Ford Motor Company is a global leader in mobility and innovation. They are seeking a highly skilled individual to lead their AI efforts, manage a team of professionals, and ensure the delivery of impactful AI solutions aligned with organizational goals.
AutomotiveAutonomous VehiclesManufacturingTransportation
Responsibilities
Directly Engaging in AI Solution Development: Ensuring alignment with FCSD’s priorities through active technical involvement
Leading and Developing a Team: Guiding and mentoring a team of AI professionals, fostering their growth and ensuring high performance
Overseeing and Contributing to Solution Design: Directing the design, development, and deployment of AI solutions, while also providing hands-on input, focusing on scalability and reliability
Driving Business Integration: Collaborating closely with business and technology stakeholders to integrate AI into our core offerings, delivering measurable outcomes
Actively participate in and oversee FCSD’s AI efforts, focusing on areas like Generative AI, Agentic AI, and advanced Data Science
Partner with business leaders to translate complex challenges into effective, scalable AI solutions that deliver significant impact, often by contributing to initial solution architecture and technical feasibility
Manage the delivery for AI initiatives, ensuring alignment with broader enterprise priorities
Establish clear success metrics and drive accountability through thoughtful forecasting, goal setting, and performance analysis
Lead, mentor, and develop a team of AI professionals, fostering an environment of collaboration and continuous improvement
Conduct performance reviews, provide constructive feedback, and support career development plans for team members
Facilitate knowledge sharing and best practices within the team and across relevant communities
Participate in the recruitment process to attract and onboard skilled AI talent
Provide hands-on technical leadership and clear guidance by actively participating in solution design, model development, and deployment processes
Lead technical and design reviews to ensure our solutions are robust, scalable, and adhere to best practices
Directly contribute to and direct advanced AI research efforts to accelerate product capabilities and innovation
Set high standards for architecture, MLOps (Machine Learning Operations), and software engineering quality within our AI practices
Take ownership of the end-to-end delivery of AI products and services, from initial concept to production, often by directly contributing to critical technical components, in partnership with Product, Engineering, and cross-functional teams
Influence product direction by providing data-driven insights and compelling executive presentations
Ensure efficient development and deployment cycles, consistently delivering high-quality and reliable AI solutions at scale through direct involvement and oversight
Qualification
Required
Bachelor's Degree in Data Science, Predictive Analytics, Statistics, AI, Applied Mathematics, Computer Science, or a related technical field
4+ years of experience leading, managing, and mentoring direct reports
Proven ability to foster team growth, manage performance, and promote a collaborative working environment
Proven hands-on experience in Generative AI and Agentic AI applications, with a track record of successfully delivering and scaling multiple AI solutions in production environments
5+ years of hands-on, practical experience with AI/ML and data science tools (e.g., Python-based), including Generative AI or Agentic AI
4+ years acting as a senior technical guide, actively facilitating solution discussions and making technical decisions for new AI feature implementations
Experience utilizing cloud platforms (Azure, AWS, or GCP) and enterprise AI platforms
Demonstrated proficiency in Gen AI technologies and modern ML frameworks
Preferred
Recognition for contributions in AI
A PhD in a related field (e.g., Data Science, Machine Learning, Statistics, Applied Mathematics, Computer Science, AI)
Advanced knowledge of predictive analytical methods (e.g., Simulation, Design of Experiments, Genetic Algorithms, Ensemble Methods, Naïve Bayes, Neural Networks, Regression, Image Processing, NLP)
Specific expertise in Google Cloud Platform (GCP)
Strong expertise in open-source data science technologies such as Python, R, Spark, SQL
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
Paid time off and the option to purchase additional vacation time.
Company
Ford Motor Company
We don't just make history -- we make the future.
Funding
Current Stage
Public CompanyTotal Funding
$16.23BKey Investors
US Department of EnergySoros Fund Management
2025-07-29Post Ipo Debt· $3B
2023-08-17Post Ipo Debt· $4B
2023-06-22Debt Financing· $9.2B
Recent News
2026-02-08
2026-02-07
Company data provided by crunchbase