Technical Development Lead (AI/Cloud/Full-Stack)

Stellantis; Auburn Hills (MI); On-site; USD 150,000 - 210,000; Full time

Job summary

Stellantis is seeking a hands‑on Technical Development Lead to drive intelligent systems across cloud and full‑stack environments. You will guide cross‑functional teams, build scalable AI/ML solutions, and deploy cloud infrastructure for vehicle engineering and testing initiatives.

The role blends IT with engineering, requiring knowledge of vehicle design and testing. On‑site presence at HQ in Auburn Hills, MI is expected five days a week.

Qualifications

• Bachelor's or Master's in Computer Science, Engineering, or related field.
• 7+ years of software development experience.
• Strong programming skills in Python and JavaScript (React, Node.js).
• Proven cloud platform experience (AWS, Azure, or GCP).
• Experience building and deploying full‑stack applications.
• Familiarity with Docker, Kubernetes, and CI/CD pipelines.
• Excellent communication and leadership skills.

Responsibilities

• Design and maintain IT architecture for vehicle testing systems and analytics platforms.
• Lead cross‑functional teams to deliver scalable AI/ML solutions.
• Develop APIs and microservices for real‑time model serving.
• Architect full‑stack solutions integrating AI models with front‑end and back‑end components.
• Deploy cloud environments and supporting components for new AI projects.
• Collaborate with data scientists, software engineers, and product managers.

Skills

Python

JavaScript

React

Node.js

Leadership

Communication

Education

Bachelor's or Master's in CS/Engineering

Tools

Docker

Kubernetes

CI/CD

AWS

Azure

GCP

TensorFlow

PyTorch

Job description

We are seeking a highly skilled and hands‑on Technical Development Lead to drive the development and deployment of intelligent systems across cloud and full‑stack environments. This role combines leadership, architecture, and development responsibilities, requiring cloud infrastructure and full‑stack engineering. You will lead cross‑functional teams to deliver scalable solutions that integrate seamlessly into enterprise applications.

Additionally, the AI solutions being developed are for vehicle engineering, testing, simulations, and homologation. Therefore, this role bridges the gap between IT and engineering, ensuring that digital tools, systems, and infrastructure align with the needs of vehicle development, testing, and production. Basic knowledge of vehicle design and testing is required for success.

Key Responsibilities

• Design and maintain IT architecture supporting vehicle testing systems, including data acquisition, test automation, telemetry, and analytics platforms.
• Collaborate with engineers, IT teams, and operations to align technology solutions with testing requirements and regulatory standards.
• Lead the design, development, and deployment of AI/ML models and systems across cloud platforms (AWS, Azure, GCP).
• Architect and implement full‑stack solutions integrating AI models with front‑end and back‑end components.
• Deploy the cloud environments and components needed for new AI projects.
• Collaborate with data scientists, software engineers, and product managers to translate business requirements into technical solutions.
• Build and maintain scalable ML pipelines using MLOps tools and practices.
• Develop APIs and microservices to serve models and enable real‑time inference.
• Ensure high performance, reliability, and security of AI applications in production.
• Mentor junior engineers and foster a culture of innovation and technical excellence.
• Stay current with emerging AI technologies and industry trends.

This role is based in Auburn Hills, MI and is required to be on‑site in our HQ building 5 days per week.

Basic Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 7+ years of experience in software development
• Strong programming skills in Python and JavaScript (React, Node.js).
• Proven experience with cloud platforms (AWS, Azure, or GCP).
• Experience building and deploying full‑stack applications.
• Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines.
• Excellent communication and leadership skills.

Preferred Qualifications

• Minimum 3 years in AI/ML.
• Hands‑on experience with ML frameworks (TensorFlow, PyTorch, Scikit‑learn).
• Experience with MLOps tools (Python, MLflow, Airflow, SageMaker, Vertex AI).
• Knowledge of data engineering tools (Spark, Kafka, Databricks, Snowflake).
• Contributions to open‑source AI projects or publications.
• Certifications in cloud or AI technologies.

At Stellantis, we assess candidates based on qualifications, merit, and business needs. We welcome applications from all people without regard to sex, age, ethnicity, nationality, religion, sexual orientation, disability, or any characteristic protected by law. We believe that diverse teams reflect our identity as a global company, enabling us to better address the evolving needs of our customers and care for our future.