IT Business Analyst & AI – Cost Systems

As an IT Business Analyst within Stellantis, specifically focus on the Product Cost Process, you are at the forefront of a transformative journey to enhance product cost modeling, forecasting, and decision-making, through AI, GenAI, agentic solutions and Data analytics. We are seeking an AI-focused technologist who combines strong Python and data platform expertise with a passion for emerging AI technologies, including LLMs, RAG architectures, and intelligent agent systems. The ideal candidate is curious, innovative, and excited to help build enterprise-scale AI solutions.

Your role will be to design & execute a scalable IT solution leveraging Stellantis governed IT platforms (Cloud/ AI/GenAI/Agentic, etc.) for Product Cost use cases, collaborating with business and technical teams, and building strong data analytics.

Key Responsibilities:

• Design and implement IT solutions and proof-of-concept projects, leveraging Stellantis Platforms
• Develop “use cases” tailored to the Product cost needs (Python, ML, LLMs, RAG) with the support of suppliers.
• Create data pipelines / transformations
• Collaborate with backend, DevOps, and product teams for scalable deployment. 
• Prototype and test new technologies in AI and Agentic AI. 
• Share knowledge and drive innovation within the team.
• Define a clear data strategy on the Product Cost scope.

Basic Requirements:

• Currently pursuing the final year of a Master’s degree, a recent grad school graduate, or possess a Bachelor's degree and 3 years of professional experience in Computer Science or a related technical field.
• Hands-on experience working with modern data platforms such as Snowflake, Palantir, or Databricks.
• Strong programming skills in Python and experience developing AI/ML solutions using tools and frameworks such as Pandas, Scikit-Learn, Streamlit, and Databricks.
• Understanding of Large Language Model (LLM) orchestration, Retrieval-Augmented Generation (RAG), and agent-based AI workflows.
• Demonstrated passion for artificial intelligence and a strong interest in building and scaling enterprise-level AI solutions.
• Naturally curious, self-motivated, and eager to learn new technologies and approaches.
• Excellent problem-solving skills with the ability to work proactively in a fast-paced environment.

• Experience with LLM fine-tuning using frameworks such as PyTorch or TensorFlow.
• Familiarity with cloud-native application development and deployment on platforms such as AWS or Microsoft Azure.