Director of Artificial Intelligence Job Description Template

Are you interested in being a leader in a fast growing company and developing new AI functions? This is an impressive opportunity for a Director of Artificial Intelligence to grow out and lead a high performing engineering team. In this role, you will also work cross functionally to scale and grow AI functions that support future business growth. If you want to work in a fast-paced environment where you are a key contributor, this is the job for you! This Director of AI/ML will be responsible for providing technical leadership and guidance across the Engineering team and AI product line.

Typical Duties and Responsibilities

• Lead from the front as a hands-on subject matter expert, architecting and crafting scalable solutions, and driving data excellence across the organization
• Architect a full ML Platform and build out the infrastructure to support scalability
• Provide collaborative leadership to build out the AI function, MLEs, MLOps and Data Engineering
• Collaborate with stakeholders and project managers to turn business goals into technical solutions
• Define best AI/ML driven practices and AI lifecycle
• Oversee model training and optimization
• Coach and mentor our team as we build scalable data and machine learning solutions
• Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies
• Inform and deliver on ambitious product roadmaps to accelerate growth

Education

• Bachelor’s degree in engineering, computer science or a related quantitative field

Required Skills and Experience

• 5+ years of hands-on experience designing and implementing elegant machine learning models at internet scale
• High level experience in AI/ML fundamentals
• Strong background in software
• Up-to-date knowledge of AI/ML technologies and their trends, including various libraries and tools
• Built feature stores and auto ML capabilities
• End to end ML work and deploying of models
• Knowledge of how full stack SaaS products work, scale and perform
• Commercial experience building architecture on AWS
• Expertise with cutting edge technologies such as transfer learning, unsupervised feature generation, meta-learning, generative text models, computer vision, sensor fusion, or reinforcement learning
• Proficient in deep programming to implement solutions in production
• Advanced data science and mathematical skills (e.g. PhD in computational modeling, machine learning, statistics, computer science)
• Experience with modern databases, cloud environments, and data ecosystems
• Experience defining and leading large-scale projects with multiple stakeholders
• Experience within a leadership role where you have proven success with building and maintaining teams