Ai Engineering, Senior Manager

Job Category Enterprise Technology Degree Level Bachelor s Degree or equivalent The AI Engineering Senior Manager is a critical leadership position responsible for shaping and executing Ford s AI strategy within FCSD This role will be instrumental in delivering FCSD AI Big Bets and driving the transformation of FCSD through advanced AI technologies including Generative AI and Agentic AI This individual will lead end-to-end delivery of AI products scale solutions across platforms and establish best-in-class AI engineering practices As a seasoned and hands-on leader this individual will Define and communicate the AI roadmap aligned with FCSD s strategic priorities Build and mentor world-class AI teams fostering innovation and technical excellence Engage directly in solution design model development and deployment to ensure scalability and reliability Collaborate with business and technology stakeholders to integrate AI into core offerings and deliver measurable outcomes This role requires a unique blend of strategic foresight technical depth and leadership capability to transform FCSD and position Ford as a leader in AI-driven customer experiences Responsibilities Strategic Thinking Leadership 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 AI Technical Leadership 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 Delivery Focus 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 Team Development 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 Anchor Role - Technical Depth 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 Qualifications Minimum Requirements Education Bachelor s Degree in a related field e g Data Science Predictive Analytics Statistics AI Applied Mathematics Computer Science Delivery Leadership Seasoned leader in Generative AI and Agentic AI applications with proven experience delivering and scaling multiple AI solutions in production environments Technical Expertise 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 Leadership Team Development 4 years leading and managing direct reports Proven ability to hire grow and mentor high-performing AI and Data Science teams Preferred Requirements 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 Naive 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