Principal AI Engineer

We are seeking a Principal AI Engineer with deep, hands‑on experience in Large Language Models (LLMs) to lead the design, development, and deployment of enterprise‑grade AI‑powered automation systems across the organization.

This role goes beyond experimentation. You will own and deliver production‑scale AI solutions, analyze complex internal workflows, identify high‑value automation opportunities, and architect intelligent systems that materially improve efficiency, accuracy, and scalability.

This position is ideal for a seasoned engineer (10+ years) who combines strong technical depth, architectural judgment, and a product mindset, and who enjoys building practical, high‑impact AI systems used at scale.

Key Responsibilities

• Lead the design, development, and deployment of LLM‑based automation solutions across multiple business functions.
• Work closely with cross‑functional teams to define problem statements, data requirements, system boundaries, and solution approaches.
• Architect and implement end‑to‑end LLM systems, including:
• Prompt pipelines
• Agent‑based architectures
• Retrieval‑Augmented Generation (RAG) systems
• Internal AI services and APIs
• Integrate commercial and open‑source LLMs (e.g., OpenAI, Anthropic, Databricks, open‑source models) into enterprise systems and products.
• Drive model evaluation, prompt optimization, and system reliability improvements based on real‑world usage.
• Establish and maintain monitoring, logging, and evaluation frameworks for LLM‑driven applications.
• Partner with product, operations, security, and engineering teams to map workflows and identify high‑ROI automation opportunities.
• Ensure all AI solutions meet enterprise standards for data privacy, security, compliance, and governance.
• Act as a technical mentor and thought leader, setting best practices for LLM engineering and applied AI.
• Stay current with advances in LLMs, agent frameworks, AI infrastructure, and applied research—and translate them into pragmatic solutions.
  

Basic Qualifications

• Bachelor’s degree in AI, Machine Learning, Computer Science, Statistics, or a related field
• A minimum of 8 years of professional experience in software engineering, AI, or machine learning, including a minimum of 3 years of significant hands‑on work on LLM‑based systems.
• Proven, production experience with Large Language Models, including:
• Prompt engineering and prompt optimization
• Model integration and orchestration
• Evaluation and reliability tuning
• Strong proficiency in Python and modern AI/ML frameworks and libraries (e.g., PyTorch, TensorFlow, LangChain, similar ecosystems).
• Solid background in deep learning and applied machine learning.
• Strong analytical and mathematical foundation relevant to ML systems.
• Experience designing systems that balance performance, scalability, cost, and accuracy.
• Ability to communicate complex technical concepts clearly to technical and non‑technical stakeholders.
• Strong written and spoken English.
  

Preferred Qualifications

• Master’s degree in AI, Machine Learning, Computer Science, Statistics, or a related field (or equivalent professional experience).
• PhD or additional advanced degree in AI, Machine Learning, Computer Science, Statistics, or related fields.
• Experience building meaningful visualizations and explaining model behavior and results.
• Background in data mining, analytics, or decision‑support systems.
• Experience with regression, supervised and unsupervised learning, and applied ML in production contexts.
• Prior experience with automotive, IoT, or large‑scale industrial data.
• Contributions to open‑source projects or published technical work.
• Experience operating AI systems under enterprise governance, security, and compliance constraints.

Our Benefits — Designed With You In Mind

Comprehensive Health & Well-being Coverage

From your very first day, you’ll have access to medical, dental, vision, and prescription drug coverage — ensuring you and your family stay healthy and protected. Also, our Employee Assistance Program (EAP) offers confidential support for personal and professional challenges, always ready when you need it.

Family Building Benefit

We proudly support all paths to parenthood- including fertility and infertility treatments, adoption services, and gestational surrogacy.

Generous Paid Time Off

We believe in work-life balance. That’s why we offer: 17+ paid holidays, including shut-down from December 24th through New Years Day every year. Vacation, float & wellbeing days, sick time and fully paid parental leave when your family needs you most.

Competitive Retirement Savings Plans

We Help You Plan For The Future With

• An employer match on contributions to your 401k, Roth, and Catch-Up plans
• An employer contribution, even if you don’t contribute

Income Protection & Insurance Options

Benefit from both employer-provided and voluntary plan offerings, including life insurance, group accident, critical illness, etc. - supporting the needs of you and your family and ensuring peace of mind.

Company Vehicle Lease Program

Eligible employees and their immediate families can participate in the company vehicle lease program, providing access to Stellantis vehicles with insurance, maintenance, and unlimited miles included. Plus, take advantage of exclusive discounts on Stellantis products.

Support for Your Growth and Giving Back

We believe in investing in your future and your passions:

• Tuition reimbursement
• Student loan refinancing programs
• 18 paid volunteer hours each year to make a difference in your community

And so much more!

When you join us, you’re not just building a career — you’re joining a company that supports you, inside and outside of work.

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.

EOE / Disability / Veteran