Head of Artificial Intelligence

Role Description The Head of Artificial Intelligence is a part-time remote role responsible for defining and leading the organization’s AI vision and strategy. This role oversees the design, development, and deployment of AI solutions that support key business functions, improve processes, and enable data-driven decisions. Typical day-to-day tasks include identifying high-value AI use cases, guiding teams in building models and algorithms, reviewing technical designs and code, and ensuring best practices in data governance and ethics. The Head of AI will collaborate with executive leadership and cross-functional stakeholders to prioritize initiatives, manage AI roadmaps, and communicate progress and impact. The role also includes mentoring technical staff, establishing standards for AI research and development, and staying current with emerging AI technologies relevant to the organization.

Qualifications

• Strong foundation in Computer Science, with expertise in software engineering principles and scalable system design.
• Advanced skills in Data Science, including statistical modeling, machine learning, and data analysis for real-world applications.
• Experience in Pattern Recognition and related algorithmic techniques for detecting and interpreting complex data structures.
• Proficiency in Natural Language Processing (NLP), with experience building and deploying language-based AI solutions.
• Knowledge of Computer Vision methods and tools for image, video, and object recognition tasks.
• Proven experience leading AI or data teams, setting technical direction, and delivering production-grade AI solutions.
• Familiarity with modern AI frameworks and platforms (e.g., TensorFlow, PyTorch, cloud AI services) and MLOps practices.
• Excellent communication skills, with the ability to explain complex AI concepts to both technical and non-technical stakeholders.
• Commitment to responsible AI practices, including fairness, transparency, security, and compliance with relevant standards.
• Master’s or PhD in Computer Science, Data Science, Artificial Intelligence, or a related field, or equivalent practical experience.