System Architect of AI

Company Description

ActivOwl.ai specializes in the integration of AI agents, utilizing deep learning to create advanced decision models designed to automate and enhance customer service. I have also background in RAG LLM training of Risk Assement from Meitav/Eloan, CRM and Identity management, Image processing and Machine learning. I was offer to be the head of AI engineering after giving course on AI with increase difficulty using approximating function and a cpu architecture of net of GPU(NVidia...). However I decide to go into the industry and wrote the efficient conversion from now knows Linux to Window API, including files permission, removable and print security. Also found the concept of DNS with Web traffic as a way to change of block traffic. I publish it in the net. Soon checkpoint was created.

Our cutting-edge solutions transform customer interactions into efficient, intelligent experiences. By leveraging innovation and expertise, we empower organizations to improve processes and optimize customer engagement.

Role Description

This is a full-time hybrid role for a System Architect of AI based in Petah Tikva, with flexibility for partial remote work. The System Architect of AI will focus on designing, developing, and optimizing complex system architectures and overseeing end-to-end systems design. Daily responsibilities include collaborating with cross-functional teams, integrating advanced AI solutions, and ensuring the seamless operation of systems. The role also involves assessing and enhancing existing architectures to align with business objectives and leveraging AI-driven technologies to develop innovative solutions.

Qualifications

• Proficiency in Software System Architecture and Systems Design, including building scalable and efficient frameworks. Hardware and
• Experience in Software Development and strong coding skills
• Expertise in Systems Engineering and Integration, with a focus on AI technologies
• Strong problem-solving abilities and strategic thinking
• Experience with AI/ML systems and a solid understanding of deep learning models is beneficial
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Third degree on LLM with become a startup of Close Answer classification of handwritten Hebrew letters in 1992!
• Ability to work collaboratively in a hybrid work environment