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Stellantis

Control Tower AI Lead

Stellantis, Auburn Hills, Michigan, United States, 48326

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Overview 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

Benefits

Health & Wellbeing:

Comprehensive coverages encompassing the Physical, Mental, Emotional, and overall Wellbeing of our employees, including short- and long-term disability.

Compensation, Savings, and Retirement:

Annual Incentive Plan (SAIP), 401k with Employer Match & Contribution (max 8%), SoFi Student Loan Refinancing.

Time Away from Work:

Paid time includes company holidays, vacation, and Float/Wellbeing Days.

Family Benefits:

12 Weeks paid Parental Leave, Domestic Partner Benefits, Family Building Benefit, Marketplace, Life/Disability and other Insurances.

Professional Growth:

Annual training, tuition reimbursement and discounts, Business Resource & Intra-professional Groups.

Company Car & More:

Comprehensive Company Car Program and Vehicle Discounts. Vehicle discounts include family and friends.

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