Lead - Agentic AI Engineer
Ford Motor Company (company site, opens in a new tab)5+ yrsChennaiHybridDirect career pageEst. 25–40 LPA
Posted on 11 Sept
Reach people at Ford Motor Company
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Ford Motor Company you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead design and implementation of scalable, modular AI agent architecture using LangChain, LangGraph, and Google ADK.
- Develop, deploy, and maintain enterprise-grade autonomous AI agent solutions to automate complex business workflows.
- Collaborate cross-functionally to integrate AI/ML solutions in cloud environments and translate business needs into technical deliverables.
Minimum Requirements
- Bachelor’s degree in Computer Science, Data Science, Statistics, Physics, Mathematics, Engineering, or related field.
- Minimum 5 years professional experience in software engineering, machine learning, or data-focused roles.
- At least 3 years experience developing and deploying ML solutions using Python, PySpark, or Scala.
- Minimum 1 year hands-on experience with Large Language Models (LLMs), agentic frameworks (e.g., LangChain), or generative AI technologies.
Ideal Candidate Profile
- Experienced in applying ML/AI to solve industrial-scale problems with large, complex data sets.
- Skilled at leading AI projects end-to-end in cloud and agile environments including integration and deployment.
- Able to clearly communicate complex AI concepts and technical solutions to both technical and leadership audiences.