Control Tower AI Lead

2 weeks ago

Auburn Hills, MI, United States Stellantis Full time

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


Salaried Employee Benefits (US, Non-Represented)

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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