Principal AI Engineer

About the Role

Our client is seeking a highly experienced and visionary Principal AI Engineer to join their advanced technology division, working remotely. This senior role is responsible for architecting, developing, and deploying sophisticated AI systems and platforms that will shape the future of our offerings. You will tackle the most challenging technical problems, mentor engineering teams, and drive best practices in AI development, ensuring the delivery of scalable, robust, and cutting-edge solutions. This is an exceptional opportunity for a seasoned AI expert to have a significant impact and lead technical innovation.

Key Responsibilities

• Lead the design and implementation of complex AI and machine learning systems and infrastructure.
• Develop and optimize advanced algorithms and models for diverse AI applications.
• Architect scalable and reliable ML pipelines, from data ingestion to model deployment and monitoring.
• Provide technical leadership and mentorship to AI/ML engineering teams, setting high standards for code quality and performance.
• Collaborate with product management and other engineering leads to define technical strategy and roadmaps.
• Evaluate and integrate new AI technologies and tools to enhance our capabilities.

Requirements

• Master's or PhD in Computer Science, Artificial Intelligence, or a related field.
• 10+ years of professional experience in software engineering with a strong focus on AI/ML.
• Demonstrated expertise in building and deploying large-scale machine learning models and AI systems.
• Proficiency in multiple programming languages (e.g., Python, Java, C++) and deep learning frameworks (TensorFlow, PyTorch).
• Deep understanding of distributed systems, cloud computing (AWS, Azure, GCP), and MLOps.
• Proven ability to lead technical initiatives and mentor engineering teams effectively.

Benefits

• Exceptional salary and comprehensive benefits package.
• Fully remote work opportunity with significant flexibility.
• Opportunities for cutting-edge research and development.
• Generous professional development budget and conference attendance.
• A culture of innovation, collaboration, and technical excellence.