Director of Applied AI
Core
Lead the design, development, and deployment of advanced AI solutions for enterprise customers using distributed AI infrastructure.
Role type
Director of Applied AI (hands-on IC with leadership)
Builds
Mission-critical AI capabilities, novel approaches leveraging distributed AI infrastructure, scalable solutions for enterprise customers
Domain
Enterprise AI, Distributed Systems, Edge Computing, Privacy-Preserving AI
Deliverable
production ML models
Required skills
Applied machine learning, AI engineering, LLMs, generative AI, Python, PyTorch, TensorFlow, JAX, cross-functional team leadership, architectural decision-making, model evaluation methodologies
Preferred skills
Distributed systems, edge computing, privacy-preserving ML, on-device model deployment, MLOps, data pipelines, scalable inference architectures, security and compliance in enterprise contexts
Technologies
PyTorch, TensorFlow, JAX
Responsibilities
Lead design and deployment of applied AI systems on the distributed platform; Engage with commercial customers to translate needs into technical requirements; Guide teams in training and optimizing LLMs and multimodal models; Oversee technical execution across parallel projects; Collaborate with Infrastructure and Product teams; Build and mentor high-performing teams; Drive architectural decisions for edge inference and privacy; Establish evaluation frameworks for model performance
Seniority
Director, strategic leadership with hands-on technical execution
