Principal AI Engineer - LLM Systems & Automation
Overview
Own the design, development, and deployment of enterprise-grade LLM-based automation systems at Stellantis. You will architect production-scale AI solutions that transform internal workflows across multiple business functions. Collaborate with cross-functional teams to map high-ROI opportunities and deliver pragmatic, scalable AI. This role blends deep technical leadership with hands-on engineering and a product mindset, setting the standard for applied AI within the organization. Stand out by driving measurable efficiency gains with robust, governed AI systems.
What You'll Do9
- 1Lead the development of LLM-based automation solutions, from problem definition to production deployment.
- 2Architect end-to-end LLM systems including prompt pipelines, agent-based architectures, RAG, and internal AI services.
- 3Integrate commercial and open-source models (OpenAI, Anthropic, Databricks) into enterprise systems.
- 4Drive model evaluation, prompt optimization, and reliability improvements based on real-world usage.
- 5Establish monitoring, logging, and evaluation frameworks for LLM-driven applications.
- 6Partner with product, operations, security, and engineering to identify high-ROI automation opportunities.
- 7Ensure all AI solutions meet enterprise standards for data privacy, security, compliance, and governance.
- 8Mentor engineers and set best practices for LLM engineering and applied AI.
- 9Stay current with LLM advances and translate them into pragmatic solutions.
Requirements9
- 1Bachelor's degree in AI, Machine Learning, Computer Science, Statistics, or related field.
- 28+ years in software engineering, AI, or ML, with 3+ years hands-on LLM work.
- 3Production experience with LLMs: prompt engineering, model integration, and evaluation.
- 4Proficiency in Python and frameworks like PyTorch, TensorFlow, LangChain.
- 5Solid background in deep learning and applied machine learning.
- 6Strong analytical and mathematical foundation for ML systems.
- 7Experience designing systems balancing performance, scalability, cost, and accuracy.
- 8Ability to communicate complex technical concepts to diverse stakeholders.
- 9Strong written and spoken English.
Salary Insight
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