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Ford Motor Company · 7 hours ago

Senior Manager - AI Engineering

Dearborn, MI

Full-time

Onsite

Senior Level

5+ years exp

Ford Motor Company is a global leader in the automotive industry focused on innovation and sustainability. The Senior Manager - AI Engineering will lead the execution of Ford's AI strategy, driving the transformation of the company through advanced AI technologies and overseeing the delivery of AI products and solutions.

AutomotiveAutonomous VehiclesManufacturingTransportation

No H1B

U.S. Citizen Only

Responsibilities

Act as a visionary and execution leader, shaping FCSD AI strategy with a focus on Generative AI, Agentic AI, and advanced Data Science

Partner with business leaders to translate complex challenges into scalable AI solutions that deliver measurable impact

Define and own product vision and delivery, ensuring alignment with enterprise priorities

Establish clear success metrics and drive accountability through forecasting, goal setting, and trend analysis

Provide hands-on technical leadership, actively engaging in solution design, model development, and deployment

Lead technical and design reviews to ensure robustness, scalability, and compliance with best practices

Prioritize and direct advanced AI research to accelerate product capabilities

Build and scale the AI Engineering practice, setting standards for architecture, MLOps, and software engineering rigor

Own end-to-end delivery of AI products and services, from concept to production, in partnership with Product, Engineering, and cross-functional teams

Influence product direction through data-driven insights and compelling executive presentations

Ensure rapid iteration and deployment while maintaining quality and reliability at scale

Recruit, mentor, and grow world-class AI talent, fostering a culture of innovation and technical excellence

Drive knowledge sharing and best practices through Communities of Practice, enabling enterprise-wide AI maturity

Champion continuous learning and develop future AI leaders within the organization

Expert in cloud-based AI platforms (GCP, Azure) and modern ML frameworks (TensorFlow, PyTorch, Keras)

Proven ability to design and implement end-to-end ML pipelines, including data ingestion, modeling, and deployment

Strong proficiency in Python, containerization (Docker), and version control (Git)

Deep expertise in Generative AI frameworks, Agentic AI applications, and advanced ML algorithms

Ability to apply software engineering principles to AI development for scalable, maintainable solutions

Hands-on experience with large-scale data processing, model optimization, and production deployment

Qualification

Generative AIAgentic AICloud platformsMachine LearningPythonMLOpsData ScienceAI EngineeringTeam DevelopmentTechnical Leadership

Required

Bachelor's Degree Data Science, Predictive Analytics, Statistics, AI, Applied Mathematics, Computer Science or in a related field

Seasoned leader in Generative AI and Agentic AI applications, with proven experience delivering and scaling multiple AI solutions in production environments

5+ years of hands-on experience with AI/ML and data science software (e.g., Python-based tools), including Generative AI or Agentic AI

4+ years acting as senior technical lead, facilitating solution tradeoff discussions for new AI feature implementations

Experience using cloud platforms (Azure, AWS, or GCP) and enterprise AI platforms

Demonstrated proficiency in Gen AI technologies and modern ML frameworks

4+ years leading and managing direct reports

Proven ability to hire, grow, and mentor high-performing AI and Data Science teams

Expert in cloud-based AI platforms (GCP, Azure) and modern ML frameworks (TensorFlow, PyTorch, Keras)

Proven ability to design and implement end-to-end ML pipelines, including data ingestion, modeling, and deployment

Strong proficiency in Python, containerization (Docker), and version control (Git)

Deep expertise in Generative AI frameworks, Agentic AI applications, and advanced ML algorithms

Ability to apply software engineering principles to AI development for scalable, maintainable solutions

Hands-on experience with large-scale data processing, model optimization, and production deployment

Preferred

Recognized thought leader in AI with industry influence

PhD in a related field (e.g., Data Science, Machine Learning, Statistics, Applied Mathematics, Computer Science, AI)

Expert-level knowledge of advanced and predictive analytical methods (e.g., Simulation, Design of Experiments, Genetic Algorithms, Ensemble Methods, Naïve Bayes, Neural Networks, Regression, Image Processing, NLP)

Working knowledge of Google Cloud Platform (GCP)

Expertise in open-source data science technologies such as Python, R, Spark, SQL