AI Engineering, Senior Manager

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.

Minimum Requirements

• Education:

• Delivery Leadership:

• 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, Na ve 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

  .

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.