Lead Architect (AI)

Location: Hybrid role based in Tel Aviv, Israel, with in-office and/or in-person expectations

Company

hirify.global provides intelligent data infrastructure, enterprise storage services, cloud platforms, and data solutions across major public cloud environments.

What you will do

• Design, develop, and maintain scalable, secure, and reliable production-grade software.
• Build and operate cloud-native services and SaaS platforms for customers at scale.
• Apply AI technologies, generative AI, large language models, intelligent automation, and emerging technologies to engineering and business challenges.
• Define technical vision, architecture strategy, reference architectures, and engineering best practices.
• Lead architecture reviews, design discussions, technical forums, and strategic initiatives across engineering, product, and leadership teams.
• Mentor engineers, facilitate knowledge sharing, and raise technical standards across the organization.

Requirements

• 10+ years of professional software engineering experience, including large-scale distributed systems.
• 7+ years of experience building, deploying, and operating SaaS applications in AWS, Azure, or GCP.
• Strong expertise in cloud-native architecture, microservices, APIs, distributed systems, and modern software development practices.
• Experience with Java, Go, Python, C#, JavaScript, or TypeScript; Node.js experience is a plus.
• Experience with generative AI, LLMs, agentic frameworks, intelligent automation, and AI-powered application development.
• Bachelor’s degree in a relevant technical field or equivalent practical experience, plus strong communication, presentation, collaboration, and mentoring skills.

Nice to have

• Advanced degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Node.js experience.

Culture & Benefits

• Hybrid working environment supporting collaboration and connection.
• Flexible approach designed to support professional and personal balance.
• Culture that values initiative, ownership, innovation, diverse perspectives, and customer-focused outcomes.
• Opportunities to work on enterprise AI, multicloud, and intelligent data infrastructure.

Hiring process

• Applications are reviewed through the company website.
• Selected hiring stages may use AI tools to support application evaluation and candidate selection alongside human decision-making.