Senior Solutions Architect, Retail
NVIDIAFull Time
Expert & Leadership (9+ years)
Candidates should have experience in solutions architecture, technical sales engineering, or a related role, preferably in a computer vision, AI, or IoT-focused company. Industry experience working directly in or with manufacturing, automotive, logistics, food processing, or retail is preferred. Expertise in designing edge-based solutions and understanding of edge computing constraints is essential. Strong knowledge of computer vision, machine learning, and associated technologies is required, along with excellent communication and presentation skills to translate complex technical concepts for non-technical stakeholders. Experience with cloud and edge infrastructure is also necessary.
The Solutions Architect will collaborate with the sales team to engage prospects, qualify opportunities, and design edge-based computer vision solutions. They will act as the primary technical resource in the pre-sales phase, identifying client needs, defining technical requirements, and creating scalable solutions using the company's computer vision platform. Responsibilities include assessing technical feasibility, designing tailored solutions with hardware, software, and edge components, maintaining in-depth knowledge of the computer vision platform, leading technical demonstrations and POCs, addressing client inquiries about architecture, APIs, security, scalability, and deployment, and collaborating with Product and Engineering teams to provide customer feedback and advocate for product improvements.
Platform for creating and deploying AI models
Roboflow offers a platform for engineers to create, train, and deploy machine learning models using their own images and videos. The platform features an auto-annotate API for efficient data labeling, along with tools for preprocessing and augmenting image data. Roboflow distinguishes itself from competitors by providing project management tools that enhance team collaboration on AI projects. The company's goal is to simplify the AI development process for a diverse range of clients, from individual engineers to large organizations.