Director of Applied AI

About Us:

webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models. We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises and consumers with AI that understands their unique business. We are a team driven by truth, ownership, tenacity, and humility, and we seek individuals who resonate with these core values and are passionate about shaping the next generation of AI.

About the Role:

The Director of Applied AI will play a pivotal leadership role in designing, developing, and deploying advanced AI solutions for enterprise customers. You will lead a cross-functional team of engineers and applied scientists to deliver mission-critical AI capabilities, architect novel approaches leveraging distributed AI infrastructure, and partner closely with customers to understand their needs and translate them into scalable, impactful solutions.

This role requires deep technical expertise, strong communication and leadership skills, and the ability to drive execution in high-stakes, rapidly evolving environments. You will help shape webAI’s applied research strategy, mentor teams, and ensure we deliver world-class AI technologies that align with customer missions and business goals.

Responsibilities:

• Lead the design, development, and deployment of applied AI systems built on webAI’s distributed AI platform.

• Engage directly with commercial customers to translate mission needs into technical requirements and scalable solutions.

• Guide teams in training, fine-tuning, optimizing, and evaluating large language models and multimodal models for domain-specific applications.

• Oversee technical execution across multiple parallel projects, ensuring high-quality delivery under tight deadlines.

• Collaborate with Infrastructure, Platform Engineering, and Product teams to align applied AI initiatives with overall product strategy.

• Build and mentor a high-performing applied AI team, fostering a culture of innovation, ownership, and hands-on problem solving.