Principal AI Engineer

Introduction

Join a global, multi-disciplinary team using technology to shape the future of mobility. Accelerate your automotive-sector career by contributing to cutting-edge solutions for the next generation of driving experiences.

• Design and engineer advanced audio systems and integrated technology platforms that enhance every journey
• Combine creativity, deep research, collaboration, engineering, and design excellence
• Contribute to the evolution of in-vehicle infotainment, safety, energy efficiency, and user experience

About the Role

The Principal AI Consultant leads the development of machine learning systems that optimize engineering processes and improve operational effectiveness. Working within a dedicated AI team, this role collaborates with departments across the organization to identify high-impact challenges, create scalable AI solutions, and embed them in enterprise platforms to achieve measurable business outcomes.

Responsibilities

• Partner with stakeholders across business, engineering, operations, and IT to define problems, gather requirements, and translate strategic goals into technical solutions
• Lead cross-functional teams delivering AI/ML projects aligned with key business metrics, while contributing directly to technical development and system integration
• Drive experimentation, validation, and refinement to ensure solutions are scalable, reliable, and deliver measurable performance and efficiency improvements
• Implement feedback loops and continuous tuning mechanisms to improve deployed systems over time
• Promote AI/ML best practices, including reproducibility, version control, model governance, and responsible AI principles
• Stay current with AI/ML research and apply innovations to real-world technical and operational challenges
• Mentor junior team members and foster a culture of innovation, collaboration, and technical mastery

Qualifications

• Master’s degree in Computer Science or a related technical discipline
• 7+ years of experience designing, developing, and deploying AI/ML solutions in production environments, including full system integration
• Proven success delivering scalable Generative AI solutions from prototyping through deployment and performance evaluation
• Expertise in Large Language Models (LLMs), including prompting techniques and inference optimization
• 4+ years of hands-on experience with AI/ML workloads on public cloud platforms such as AWS or Azure, including compute, orchestration, and deployment services
• Advanced Python programming skills, including OOP, TDD, and clean coding principles
• Strong foundation in ML system architecture, including data pipelines, lifecycle management, monitoring, and MLOps best practices
• Ability to work across disciplines and lead technical discussions with data scientists, engineers, product owners, and operational teams