What you'll do:

AI Engineering Managers in ZAIDYN Engineering & Architecture will own the end-to-end architecture, design, and delivery of large-scale AI and platform systems for ZCE 2.0. In this role, you will lead teams building multi-tier, distributed applications across API, service, data, and AI layers while staying deeply engaged in system design and technical reviews. You will drive engineering excellence across performance, scalability, reliability, maintainability, and production readiness. You will serve as a technical authority for complex architectural and production challenges, making pragmatic trade-offs that balance near-term delivery with long-term platform evolution. You will partner closely with Product, AI/ML, DevOps, Data Engineering, and Consulting teams to integrate GenAI capabilities into robust enterprise platforms. You will also mentor engineers and help build a culture of technical depth, ownership, accountability, and reuse across AI components and platform capabilities.

• Lead architecture and system design for large-scale, distributed, multi-tier systems spanning frontend, APIs, services, data, and AI layers.

• Define engineering standards, design patterns, service boundaries, API approaches, data models, and platform architecture decisions.

• Architect and build production-grade GenAI-enabled systems using LLMs, prompt pipelines, model APIs, and agentic or workflow-based approaches.

• Guide engineers through design reviews, code reviews, technical debt resolution, and scalable implementation practices.

• Own delivery across high-impact, parallel workstreams by driving planning, prioritization, risk identification, and execution discipline.

• Ensure systems are observable, reliable, debuggable, production-ready, and aligned with cloud-native and CI/CD practices.
• Partner with Product, AI/ML, Data Engineering, DevOps, and Consulting teams to translate complex business needs into scalable technical solutions.
• Ability to build engineering culture through coaching, hiring, structured development, and clear expectations for technical excellence.
• Ability to balance short-term delivery with long-term platform evolution, reuse, standardization, and maintainability.
• Experience supporting complex platform or AI solution discussions with internal stakeholders and/or clients is preferred.

What you'll bring:

• Deep software engineering experience with strong foundations in core computer science, data structures, algorithms, and system design.

• Engineering management or technical leadership experience with proven ability to lead teams while remaining technically credible and hands-on.

• Experience building and scaling large-scale, distributed, multi-tier applications across backend, services, data, and AI layers.

• Strong backend engineering skills, with Python preferred, and familiarity with frameworks such as FastAPI, Flask, or similar technologies.

• Strong understanding of distributed systems, microservices, API design, service-oriented architecture, data modeling, and storage systems.

• Hands-on experience building production-grade GenAI or LLM systems, including prompt pipelines, model integrations, and agentic or workflow-based AI systems.

• Fluency in English, a client-first mentality, collaborative spirit, strong problem-solving approach, and ability to communicate technical trade-offs clearly to stakeholders.

How you'll grow:

• Cross-functional skills development & custom learning pathways
• Milestone training programs aligned to career progression opportunities
• Internal mobility paths that empower growth via s-curves, individual contribution and role expansions

Perks & Benefits:

At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well-being, financial future, time away, and professional development. With robust skills-building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you'll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in United States, visit ZS US office locations | Where we work | ZS.

Hybrid working model:

We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.

Travel:

Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.