Job Description

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:

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

.

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.