Principal AI Engineer

Introduction:

Join a global, multi-disciplinary team harnessing the power of technology to shape the future of mobility. This is your opportunity to accelerate your career in the automotive sector by contributing to cutting-edge solutions that define the next generation of driving experiences.

Design and engineer advanced audio systems and integrated tech platforms that enhance every journey

• Combine creativity, deep research, and a collaborative spirit with excellence in engineering and design
• Contribute to the evolution of in-vehicle infotainment, safety, energy efficiency, and user experience
• About the RoleWe are looking for a Principal AI Consultant with a solid track record in building and deploying AI-powered solutions. In this role, you’ll lead the development of machine learning systems that optimize engineering processes and boost operational effectiveness. Working within a dedicated AI team, you’ll collaborate with various departments to identify impactful challenges, craft scalable AI solutions, and embed them into 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 in delivering AI/ML projects aligned with key business metrics, while also contributing directly to technical development and system integration
• Drive experimentation, validation, and refinement of solutions to ensure they are scalable, reliable, and deliver tangible improvements in performance and efficiency
• Implement feedback loops and continuous tuning mechanisms to enhance deployed systems over time
• Promote best practices in AI/ML development such as reproducibility, version control, model governance, and responsible AI principles
• Stay current with the latest AI/ML research and apply innovations to address real-world technical and operational challenges
• Provide mentorship to junior team members, fostering a culture grounded in innovation, collaboration, and technical mastery
• Qualifications
• Master’s degree in Computer Science or a related technical discipline7+ years of experience designing, developing, and deploying AI/ML solutions in production environments, including full system integration
• Proven success in delivering scalable Generative AI solutions, from prototyping to deployment and performance evaluation
• Expertise in Large Language Models (LLMs), including prompting techniques and optimizing inference processes4+ years of hands-on experience with AI/ML workloads on public cloud platforms such as AWS or Azure, with strong understanding of key services for compute, orchestration, and deployment
• Advanced Python programming skills, including OOP, TDD, and clean coding principles
• Strong foundation in ML system architecture, covering areas such as data pipelines, lifecycle management, monitoring, and MLOps best practices
• Ability to engage across disciplines and lead technical discussions with data scientists, engineers, product owners, and operational teams