Principal AI Engineer

Principal Duties and Responsibilities

• AI Architecture & Strategy: Design scalable AI/ML architectures and define long-term AI technology strategy aligned with business objectives.
• Model Development: Lead development of machine learning, deep learning, and generative AI models for production environments.
• Technical Leadership: Mentor AI engineers, data scientists, and ML engineers; set engineering standards and best practices.
• Research & Innovation: Evaluate emerging AI technologies and integrate cutting-edge methods into products and platforms.
• Production Deployment: Oversee model deployment, monitoring, optimization, and lifecycle management in cloud or on-prem environments.
• Cross-Functional Collaboration: Work closely with product managers, data engineers, and business stakeholders to translate requirements into AI solutions.
• Responsible AI & Governance: Ensure ethical AI practices, model explainability, fairness, privacy, and regulatory compliance.
• Performance Optimization: Improve model accuracy, efficiency, scalability, and reliability for enterprise-scale systems.

Additional Characteristics

• Independently performs assignments to achieve stated objective.
• Determines and develops approach to solutions.
• Receives technical guidance only on unusual or complex problems or issues.
• May be responsible for entire projects having moderate to complex scope/impact or portions of projects having considerable scope/impact.
• Uses judgment and discretion to determine work priorities, receiving little instruction from others.

Education Requirements

Bachelor’s degree or foreign equivalent in computer science, engineering or related field or equivalent work experience