Akeyless Security delivers a cloud-native SaaS platform that integrates Vaultless Secrets Management with Certificate Lifecycle Management, Next Gen Privileged Access Management (Secure Remote Access), and Encryption Key Management to manage the lifecycle of all machine identities and secrets across all environments. Trusted by Fortune 100 companies and industry leaders, Akeyless is redefining identity security for the modern enterprise, delivering the world’s first unified Secrets & Machine Identity platform designed to prevent the #1 cause of breaches - compromised identities and secrets. Backed by the world’s leading cybersecurity investors and global financial institutions including JVP, Team8, NGP Capital, and Deutsche Bank. We’re looking for a hands-on AI Engineering Tech Lead to define and drive AI-native engineering practices, lead the architecture and development of scalable, intelligent systems, and embed AI across the software development lifecycle. This role involves providing technical leadership, identifying and solving architectural challenges, and collaborating cross-functionally to deliver high-impact, production-grade solutions. Responsibilities: Define and codify AI-native engineering practices, patterns, and guidelines to elevate the software development lifecycle. Provide technical leadership and mentorship, fostering an AI-first engineering culture across teams. Architect and lead the development of AI-native system frameworks that emphasize modularity, extensibility, and adaptive scalability. Identify architectural risks, systemic bottlenecks, and long‑term scalability concerns - and proactively drive solutions. Collaborate closely with Product, Customer success, Security and Business stakeholders to ensure technical solutions deliver real business impact. Requirements Hands-on experience (6y+) with distributed systems, microservices, and cloud-native technologies. Proven ability to leverage AI-assisted engineering to drive ope
