Artificial Intelligence Engineer

Ford Motor; Chennai; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Ford Motor is seeking a creative and driven AI Engineer to design, build, and deploy AI-powered applications on Google Cloud Platform. You will contribute to architectural decisions and product strategy, working across AI/ML development, agentic systems, and software integration.

The role emphasizes MLOps, governance, and cloud-native pipelines, with collaboration across product managers and engineers in an Agile environment.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics or related technical field.
• 3+ years of professional experience in AI/ML engineering or software engineering with model deployment focus.
• Strong ML theory background and experience with libraries like scikit-learn, XGBoost, or PyTorch/TensorFlow.
• Hands-on experience with LLMs and orchestration frameworks (LangChain, LlamaIndex, AutoGen).
• GCP proficiency with Vertex AI, BigQuery, Cloud Run.

Responsibilities

• Design, train, and deploy AI solutions including classical ML and Generative AI workflows.
• Develop AI agents with multi-step reasoning and external API integration.
• Architect and productionalize AI/ML models into apps via RESTful APIs and microservices.
• Build scalable data/ML pipelines for training, deployment, and versioning.
• Implement monitoring and governance for models in production.
• Utilize GCP services to host and scale AI apps in serverless or containerized environments.
• Collaborate within Agile teams to deliver business value for customers.

Skills

Python programming

API design

Git version control

Unit testing

Agile collaboration

Education

Bachelor's degree in Computer Science, Data Science, Statistics

Tools

LangChain

LlamaIndex

AutoGen

Vertex AI

BigQuery

Cloud Run

scikit-learn

PyTorch/TensorFlow

Job description

AI Engineer Enterprise Technology plays a critical part in shaping the future of mobility. If you’re looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience and improve people’s lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are. We are seeking a creative and driven Full-Stack Software Engineer to join our innovative team. You will be instrumental in designing, building, and deploying robust, scalable, and intuitive applications that leverage Generative AI and cloud-native technologies on the Google Cloud Platform (GCP). This is a role where you will tackle exciting challenges across the entire stack. You won't just be writing code; you will be a key contributor to architectural decisions, product strategy, and the overall technical direction of our AI-powered initiatives.

AI & ML Development

Design, train, and deploy a variety of AI solutions, including classical machine learning models (classification, regression, clustering) and advanced Generative AI workflows.

Agentic Systems

Develop and productionalize AI agents capable of multi-step reasoning, tool-use, and integration with external APIs.

Software Integration

Architect and build production-ready code to integrate AI/ML models into user-facing applications via RESTful APIs and microservices.

Pipeline Engineering

Build and maintain scalable data and ML pipelines to automate model training, deployment, and versioning.

MLOps & Governance

Implement model monitoring and governance frameworks to track performance, drift, and reliability in production.

Cloud Engineering

Utilize GCP services to build, host, and scale AI applications in a serverless or containerized environment.

Collaboration

Work within an Agile framework, collaborating closely with Product Managers and other engineers to deliver business value for our commercial customers.

Required Skills & Experience

• Education: Bachelor’s Degree in Computer Science, Data Science, Statistics, or a related technical field.
• Experience: 3+ years of professional experience in AI/ML engineering or Software Engineering with a focus on model deployment.
• Core ML Knowledge: Strong foundation in machine learning theory and practical experience with libraries such as scikit-learn, XGBoost, or PyTorch/TensorFlow.
• GenAI Stack: Hands-on experience with LLMs and orchestration frameworks (e.g., LangChain, LlamaIndex, or AutoGen).
• GCP Proficiency: Working knowledge of Google Cloud Platform, specifically Vertex AI, BigQuery, and Cloud Run.
• Software Engineering: Proficiency in Python and a solid understanding of software best practices, including API design, Git version control, and unit testing.

Preferred Requirements

• Infrastructure as Code (IaC): Experience with Terraform for provisioning and managing cloud infrastructure.
• CI/CD Pipelines: Experience with Tekton or similar cloud-native CI/CD frameworks for automating ML workflows.
• Production Experience: Proven track record of taking an AI agent or ML model from a prototype to a stable, monitored production environment.
• Communication: Excellent verbal and written communication skills with the ability to explain technical concepts to non-technical partners.
• Attitude: A strong desire for continuous learning and upskilling in the rapidly evolving AI landscape.