We are seeking a highly skilled and visionary AI Engineer/Lead. This position is pivotal to the Control Tower and Field Quality organization, driving the development, validation, and evolution of AI/ML tools that support warranty analytics, customer feedback, and quality improvement initiatives. The ideal candidate will possess deep expertise in Control Tower processes, warranty lifecycle management, and advanced data modeling using Palantir Foundry tools.
Key Responsibilities:
- Lead the modeling, creation, enhancement, and validation of AI/ML applications for Field Quality and Control Tower initiatives
- Collaborate cross-functionally with engineering, warranty, and customer experience teams to align AI tools with business needs
- Drive the evolution of the AI roadmap for Quality, identifying opportunities for innovation and scalability
- Translate complex warranty and customer feedback data into actionable insights using Palantir tools such as My Customer Voice, Quiver, and Complex Foundry Analysis
- Ensure robust testing and validation of AI/ML models to meet performance, accuracy, and reliability standards
- Support continuous improvement of existing AI applications through iterative development and stakeholder feedback
- Mentor junior engineers and contribute to a culture of technical excellence and innovation
Basic Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field
- 5+ years of experience in AI/ML modeling, testing, and validation, preferably in automotive or manufacturing quality domains
- Strong understanding of Control Tower operations and end-to-end warranty processes
- Proven experience with Palantir Foundry tools, including My Customer Voice, Quiver, and complex analytical workflows
- Proficiency in Python, SQL, and data visualization tools
- Ability to envision, adapt, and enhance AI strategies aligned with evolving business goals
- Excellent communication and stakeholder engagement skills
Preferred Qualifications:
- Experience in deploying AI/ML models in production environments
- Familiarity with cloud platforms and MLOps practices
- Background in field quality analytics or customer satisfaction metrics
- Prior leadership or mentoring experience in technical teams
Skills Required
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field
- 5+ years of experience in AI/ML modeling, testing, and validation
- Strong understanding of Control Tower operations and warranty processes
- Proven experience with Palantir Foundry tools
- Proficiency in Python, SQL, and data visualization tools
Stellantis Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Stellantis and has not been reviewed or approved by Stellantis.
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Pay Growth & Progression — Contract-driven increases lifted hourly wages roughly 25% over 4.5 years and restored cost-of-living adjustments, pushing top rates near $42 per hour by the end of the agreement. Union hourly positions appear to have benefited most since the 2023 deal.
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Affordable Benefits — UAW-represented hourly workers pay no premiums and about 3% of total healthcare costs while receiving comprehensive medical, dental, vision, and wellness coverage. This creates materially lower out-of-pocket costs for represented hourly roles.
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Retirement Support — Post-2007 hourly hires receive a 10% employer 401(k) contribution and legacy workers saw defined-benefit improvements with retiree bonuses. Salaried roles also cite a 401(k) with employer match and contribution up to a maximum of 8%.
Stellantis Insights
What We Do
Our storied and iconic brands embody the passion of their visionary founders and today’s customers in their innovative products and services: they include Abarth, Alfa Romeo, Chrysler, Citroën, Dodge, DS Automobiles, Fiat, Jeep®, Lancia, Maserati, Opel, Peugeot, Ram, Vauxhall and mobility brands Free2move and Leasys. Powered by our diversity, we lead the way the world moves – aspiring to become the greatest sustainable mobility tech company, not the biggest, while creating added value for all stakeholders as well as the communities in which we operate.
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