AI ARCHITECT

Job Description Job Responsibilities ● Architect and oversee the protocol's development, focusing on dynamic node orchestration, layer-wise model sharding, and secure, P2P network communication. ● Drive the end-to-end creation of AI applications, ensuring they are optimised for decentralised deployment and include use cases with autonomous agent workflows. ● Architect AI systems capable of running on decentralised networks, ensuring they balance speed, scalability, and resource usage. ● Design data pipelines and governance strategies for securely handling large-scale, decentralised datasets. ● Implement and refine strategies for swarm intelligence-based task distribution and resource allocation across nodes. Identify and incorporate trends in decentralised AI, such as federated learning and swarm intelligence, relevant to various industry applications. ● Lead cross-functional teams in delivering full-precision computing and building a secure, robust decentralised network. ● Represent the organisation's technical direction, serving as the face of the company at industry events and client meetings. Requirements : ● Bachelor's/Master's/Ph.D. in Computer Science, AI, or related field. ● 12+ years of experience in AI/ML, with a track record of building distributed systems and AI solutions at scale. ● Strong proficiency in Python, Golang, and machine learning frameworks (e.g., TensorFlow, PyTorch). ● Expertise in decentralised architecture, P2P networking, and heterogeneous computing environments. ● Excellent leadership skills, with experience in cross-functional team management and strategic decision-making. ● Strong communication skills, adept at presenting complex technical solutions to diverse audiences.