Software Architect, Platform

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 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 :

We are seeking a visionary Platform Architect to lead core architectural decisions across our distributed AI stack - from runtime orchestration, through application interfaces, to mesh-aware networking. This is role lives at the intersection of systems architecture, AI infrastructure, and distributed computing. You will define, validate, and evolve the technical blueprint that powers webAI's intelligent mesh and ensures it scales with enterprise-grade resilience, security, and performance.

Key Responsibilities :

• End-to-End Architecture : Own the design and evolution of the platform architecture across the runtime, application, and mesh-network layers. Prioritize modularity, composability, and real-world deployability.
• AI Runtime Design : Define and build high-performance runtimes, including task scheduling, memory management, and hardware abstraction for heterogeneous environments (CPU, GPU, NPU). Contribute to or integrate frameworks like ONNX, TensorRT, or custom inference stacks.
• Networking Layer : Architect resilient peer-to-peer communication and mesh networking systems across diverse radios (Wi-Fi, Bluetooth, WebRTC, etc.), including device discovery, data synchronization, and fault tolerance.
• Security & Observability : Embed zero-trust principles, encryption at rest and in transit, signed inference, and platform-level logging, monitoring, and diagnostics by design.
• Technical Leadership : Serve as a technical mentor for engineering teams, validate architectural choices, conduct design reviews, and collaborate with stakeholders to ensure alignment with product vision and performance requirements.

Required Skills & Qualifications :

Experience :

AI Runtime Design

Tooling & Stack Preferences

Networking Layer

We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following :

Benefits :

webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.