תיאור המשרה
Description Location: Ra'anana The Role: We're looking for an AI Workflow Engineer to join our System Architecture group. This is a high-impact role where you'll design, build, and continuously improve AI-powered workflows, agents, and tools that help our architects do their best work - from system design and modeling through documentation, technical decision-making, and review. Working from within the architecture team, you'll turn the group's real, day-to-day pain points into practical AI-assisted solutions. Your primary focus is system architecture within the software development lifecycle (SDLC), and because architecture touches everything, your work will naturally extend into adjacent stages wherever AI can add value. Key Responsibilities: Design and build AI-powered workflows, agents, and internal tools that support system architecture work — design, modeling, documentation, architecture decisions, and reviews. Develop and iterate on agents within our internal framework, using agentic AI techniques to accelerate and augment architecture and engineering tasks. Continuously improve existing workflows and tools as team needs evolve and AI capabilities advance. Partner closely with the System Architecture team to understand real pain points and turn them into practical, AI-assisted solutions. Measure and demonstrate the impact of the workflows you build - for example on design-cycle time, review turnaround, and the quality and completeness of architecture documentation and decision records. Build proof-of-concept projects that show the practical value of AI in real architecture and engineering workflows. Develop best practices, prompt engineering guidelines, and reusable patterns for AI-assisted architecture and development. Stay current with the rapidly evolving AI tooling landscape and advise on strategic adoption. Requirements B.Sc . or M.Sc in Computer Science, Electrical Engineering , or a related field, graduated with Honors AI Development Tools: Hands-on experience using AI-powered coding assistants and agentic development tools - not just familiarity, but meaningful integration into your workflow. Communication: Ability to explain technical concepts clearly and influence adoption across teams with varying levels of AI experience. Quality-driven mindset: You care about getting things right — reducing noise, improving accuracy, and measuring whether output is actually good. You iterate relentlessly and aren't satisfied with "good enough." As part of the initial stages of the recruitment process, you will be required to submit an AI project presentation based on a project built using Claude Code.
על DRIVENETS
DriveNets is a leader in high-scale networking software for AI infrastructure and service providers. The company pioneered a disaggregated networking architecture that transforms the economics of large-scale networks while maximizing performance, utilization, and operational efficiency. DriveNets-powered networks are deployed by global leaders, including AT&T and Comcast, supporting more than 30% of total U.S. internet traffic. DriveNets AI Fabric delivers full-stack networking for AI infrastructures, providing the highest-performance, Ethernet-based alternative to InfiniBand. The solution is deployed by hyperscalers, NeoClouds, and enterprises worldwide.
Founded by Ido Susan and Hillel Kobrinsky, two successful telco entrepreneurs, DriveNets Network Cloud is the leading open disaggregated networking solution based on cloud-native software running over standard white boxes.
Over three funding rounds, DriveNets raised $587 million. Its solutions are used by tens of service providers globally and are in proof-of-concept and lab trials at dozens of operators and hyperscalers, consistently ranking #1 in trials for breadth of capabilities and solution quality. AT&T, the largest backbone in the US, deployed DriveNets Network Cloud across its core network, and DriveNets is currently transporting more than 52% of AT&T’s core network traffic. DriveNets is engaged with over 100 Tier-1 operators and cloud-providers on large projects in North America, Asia and Europe.