Hybrid Lead Gen AI

at Ford Motor Company

• Job title: Lead Gen AI
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Cloud, PySpark, Python, Scala, SQL
• Location requirements: Hybrid, Chennai, India

About the role

• Gen AI Lead Engineer designing, building, and deploying AI solutions using technologies like LangChain and LangGraph. Spearheading innovations for the FBS Marketplace platform.

Responsibilities

• Serve as the technical lead for the FBS Marketplace platform, designing and implementing a scalable architecture for modular, reusable AI components and services.
• Design and build advanced, multi-agent systems using frameworks like LangChain and LangGraph to automate complex business workflows and reasoning tasks.
• Lead the entire lifecycle of AI projects, from translating high-level business needs into well-defined technical problems to deploying and maintaining enterprise-grade agentic solutions in our cloud environment.
• Partner with IT, PRE, and business teams to ensure the seamless deployment, integration, and operational success of AI/ML solutions within the broader software architecture.
• Apply advanced analytical solutions (including machine learning and statistical models), and conduct analysis that consists of problem formulation, data extraction and pre-processing, modeling, validation, ongoing work, and presentations.
• Work with high-volume, high-dimensional

Requirements

• Bachelor’s degree in Computer Science, Data Science, Statistics, Physics, Mathematics or Engineering degree or a related field of study
• 5+ years of professional experience in software engineering, machine learning, or a data-focused role.
• 3+ years of hands-on experience developing and deploying machine learning solutions using languages like Python, PySpark, or Scala.
• 1+ years of direct, hands-on experience building solutions with Large Language Models (LLMs), agentic frameworks (e.g., LangChain), or related Generative AI technologies.
• Proficiency with SQL and experience engineering data from diverse, high-volume sources.
• Even better, you may have...
• MS or PhD in a related field
• Demonstrated success applying ML and AI to solve real-world industrial problems with large-scale data.
• Proficiency with version control (Git) and CI/CD practices within an agile development environment.
• Excellent programming skills, particularly interface development to generate data visualizations and to extract insights from large complex data sets.
• Strong interpersonal and leadership skills, with proven abilities to communicate complex topics to leaders and peers in a simple, clear, plan-oriented manner.
• A self-starter mentality, with the ability to navigate ambiguity and drive projects forward with minimal direction in a fast-paced environment.
• Ability to work in an environment where problems are not always well-defined.