Join us in shaping how AI agents are secured at enterprise scale.
About the Role:
Zenity is looking for a Software Architect to lead the technical evolution of our next-generation AI cybersecurity platform. You'll work across teams to solve the company's most challenging architectural problems while remaining deeply hands-on - building prototypes, validating new technologies, and helping engineering teams deliver production-ready solutions. The role requires both deep engineering expertise and the ability to shape the architecture of large-scale data, cloud, and AI systems that power our platform.
What You’ll Do
Responsibilities:
Partner with engineering teams to solve complex architectural and technical challenges, leading the design of scalable, secure, and maintainable systems.
Build and validate proofs of concept (PoCs) to evaluate new architectures, data platforms, AI capabilities, and emerging technologies.
Drive technical direction across engineering, product, and data science, turning new technologies into production-ready solutions.
Lead architecture and design reviews, ensuring scalability, reliability, security, and operational excellence.
Mentor engineers through hands-on collaboration, code reviews, and system design discussions while promoting AI-native engineering practices.
Requirements
Requirements:
7+ years in a senior technical leadership role (Principal Architect, Staff Engineer, Lead Engineer, or equivalent) with a strong track record of designing and delivering production systems.
Deep expertise in large-scale distributed systems, data processing pipelines, and cloud-native architectures.
Strong background in cybersecurity and secure system design; experience in SaaS or cybersecurity products is a significant advantage.
Hands-on experience building, deploying, and scaling AI-native applications and agentic workflows in enterprise production environments.
Proven track record implementing scalable agentic architectures, agentic orchestration frameworks, and evaluation pipelines for production AI systems.
Experience managing latency, cost, reliability, and security considerations when serving AI/Agentic workloads at scale.
Familiarity with agentic AI frameworks and modern AI-native engineering, including coding agents and AI-assisted software development.
Experience designing and building multi-tenant SaaS platforms with strong isolation and scalability characteristics. Familiarity with Bring Your Own Cloud or similar deployment models in enterprise environments.
Excellent communication and technical leadership skills, with the ability to influence architecture and collaborate effectively across multiple engineering teams.
What We Look For At Zenity
Interview Process
Compensation
