Solutions Architect - GenAI Product Technology

January 23

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Articul8 AI

Articul8 AI is a company specializing in a GenAI platform designed to simplify and enhance the process of building sophisticated enterprise AI applications. The platform offers features such as autonomous decision-making, automated data intelligence, and a growing library of specialized models. It aims to improve accuracy and precision while ensuring 100% traceability and auditability. Articul8 provides tools for data ingestion, annotation, curation, and management, which help create high-quality datasets for multimodal and domain-specific AI models. Their solutions are engineered for regulated industries and can be deployed securely anywhere. Articul8 AI supports efficiency in knowledge discovery and offers platforms that scale effortlessly, adapt to changing datasets, and retain flexibility to avoid vendor lock-in.

πŸ“‹ Description

β€’ Articul8 AI is seeking an exceptional Solution Architect to join us in shaping the future of Generative Artificial Intelligence (GenAI). β€’ As a member of our Product Technology team, you will work closely with a customer's technical and business leaders to gain a deep understanding of their technical gaps and needs. β€’ You will craft optimal GenAI-based solutions that promote innovation and accelerate the process of bringing new products to market. β€’ This position offers exciting opportunities to work closely with cross-functional teams and external partners to drive innovations in enterprise-grade GenAI.

🎯 Requirements

β€’ 2+ years of design, implementation, or consulting in applications and infrastructures experience β€’ 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience β€’ BSc degree in Computer Science, Engineering, Mathematics, or a related field. β€’ Master’s or PhD in Computer science or related technical fields. β€’ Experience developing tools, libraries, and infrastructure for data preprocessing, model training/finetuning, and deployment of LLMs in research and production environments.

πŸ–οΈ Benefits

β€’ Professional development opportunities, including training and mentorship programs β€’ Flexible work arrangements, including remote work options β€’ Access to the latest technologies and tools β€’ Regular social events and team-building activities β€’ A supportive and inclusive work environment

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