Own end-to-end technical and delivery responsibility for multiple AI platforms and services
Lead and mentor senior engineers, technical leads, and service owners
Drive architecture, engineering standards, and execution discipline
Act as the primary technical and delivery escalation point
Partner closely with Product, AI/ML, DevOps, Data Engineering, and Consulting teams
You will balance hands-on engineering leadership with team development and execution ownership, ensuring both short-term delivery and long-term platform evolution.
Technical Leadership & Architecture
Own system-level architecture and technical decision-making across AI platforms and services
Guide design and implementation of backend services, APIs, and AI integrations
Ensure systems are scalable, secure, and production-ready
Provide technical direction on GenAI workflows, agentic systems, and service orchestration
Engineering Management & Team Leadership
Manage and mentor senior engineers, technical leads, and service owners
Set clear expectations around ownership, quality, and delivery
Support team growth through coaching, feedback, and development planning
Build a culture of strong engineering fundamentals, accountability, and collaboration
Delivery Ownership & Execution
Own delivery outcomes across multiple parallel workstreams
Partner with product and delivery teams to plan, prioritize, and sequence work
Identify risks early and make pragmatic trade-offs
Act as escalation point for technical and delivery challenges
AI Platform & Service Enablement
Oversee development of AI-powered backend services using Python (FastAPI / Flask)
Enable GenAI use cases by integrating LLMs, prompt pipelines, agentic workflows, and enterprise data systems
Drive standardization and reuse across AI components where appropriate
Ensure clear service ownership and operational readiness
Engineering Quality & Governance
Define and enforce engineering standards, patterns, and best practices
Review designs and code at a system level to ensure quality and maintainability
Identify technical debt and guide remediation plans
Partner with DevOps to ensure observability, reliability, and operational clarity
Cross-Functional Collaboration
Work closely with Product, AI/ML, DevOps, Data Engineering, and Consulting teams
Translate business and client needs into sound technical approaches
Communicate technical trade-offs clearly to non-technical stakeholders
Support client-facing discussions when required for complex AI systems
What you’ll bring
10+ years of software engineering experience, including 3+ years in a technical leadership or engineering management role
Strong backend engineering experience in Python (FastAPI, Flask, or similar frameworks)
Hands-on experience building, integrating, and scaling GenAI / LLM-based systems, including prompt pipelines, model APIs, and agentic or workflow-based AI solutions
Experience building and operating AI-enabled or data-intensive systems in production
Proven ability to lead engineers while remaining technically credible
Experience owning architecture and delivery across multiple services
Comfortable operating in ambiguity and making pragmatic technical and delivery decisions
Nice to Have
Experience with cloud platforms (AWS, Azure, or GCP)
Exposure to consulting or client-facing environments
Background in platform, shared services, or accelerator-based engineering
What Success Looks Like in This Role
Engineering teams operate independently with clear ownership
GenAI systems are scalable, reliable, and reusable
Delivery is predictable and high quality
Technical decisions balance speed with long-term sustainability
Engineers grow in capability, confidence, and impact
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 India, visit ZS India 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.
Considering applying?
At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems—the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.
If you’re eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.
ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.
To complete your application
Candidates must possess or be able to obtain work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.
NO AGENCY CALLS, PLEASE.
Find Out More At
www.zs.com
Engineering Manager – AI Engineering
ZS is seeking an experienced Engineering Manager – AI Engineering to lead the design, delivery, and evolution of AI-powered platforms and services. This role combines technical leadership, people management, and execution ownership, and is critical to building scalable, reliable, and high-impact GenAI systems across products and client solutions.
This is a hands-on leadership role for someone who brings strong engineering judgment, deep GenAI experience, and the ability to grow high-performing teams while owning complex delivery outcomes.
What you’ll do
As an Engineering Manager – AI Engineering, you will
Own end-to-end technical and delivery responsibility for multiple AI platforms and services
Lead and mentor senior engineers, technical leads, and service owners
Drive architecture, engineering standards, and execution discipline
Act as the primary technical and delivery escalation point
Partner closely with Product, AI/ML, DevOps, Data Engineering, and Consulting teams
You will balance hands-on engineering leadership with team development and execution ownership, ensuring both short-term delivery and long-term platform evolution.
Technical Leadership & Architecture
Own system-level architecture and technical decision-making across AI platforms and services
Guide design and implementation of backend services, APIs, and AI integrations
Ensure systems are scalable, secure, and production-ready
Provide technical direction on GenAI workflows, agentic systems, and service orchestration
Engineering Management & Team Leadership
Manage and mentor senior engineers, technical leads, and service owners
Set clear expectations around ownership, quality, and delivery
Support team growth through coaching, feedback, and development planning
Build a culture of strong engineering fundamentals, accountability, and collaboration
Delivery Ownership & Execution
Own delivery outcomes across multiple parallel workstreams
Partner with product and delivery teams to plan, prioritize, and sequence work
Identify risks early and make pragmatic trade-offs
Act as escalation point for technical and delivery challenges
AI Platform & Service Enablement
Oversee development of AI-powered backend services using Python (FastAPI / Flask)
Enable GenAI use cases by integrating LLMs, prompt pipelines, agentic workflows, and enterprise data systems
Drive standardization and reuse across AI components where appropriate
Ensure clear service ownership and operational readiness
Engineering Quality & Governance
Define and enforce engineering standards, patterns, and best practices
Review designs and code at a system level to ensure quality and maintainability
Identify technical debt and guide remediation plans
Partner with DevOps to ensure observability, reliability, and operational clarity
Cross-Functional Collaboration
Work closely with Product, AI/ML, DevOps, Data Engineering, and Consulting teams
Translate business and client needs into sound technical approaches
Communicate technical trade-offs clearly to non-technical stakeholders
Support client-facing discussions when required for complex AI systems
What you’ll bring
10+ years of software engineering experience, including 3+ years in a technical leadership or engineering management role
Strong backend engineering experience in Python (FastAPI, Flask, or similar frameworks)
Hands-on experience building, integrating, and scaling GenAI / LLM-based systems, including prompt pipelines, model APIs, and agentic or workflow-based AI solutions
Experience building and operating AI-enabled or data-intensive systems in production
Proven ability to lead engineers while remaining technically credible
Experience owning architecture and delivery across multiple services
Comfortable operating in ambiguity and making pragmatic technical and delivery decisions
Nice to Have
Experience with cloud platforms (AWS, Azure, or GCP)
Exposure to consulting or client-facing environments
Background in platform, shared services, or accelerator-based engineering
What Success Looks Like in This Role
Engineering teams operate independently with clear ownership
GenAI systems are scalable, reliable, and reusable
Delivery is predictable and high quality
Technical decisions balance speed with long-term sustainability
Engineers grow in capability, confidence, and impact
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 India, visit ZS India 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.
Considering applying?
At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems—the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.
If you’re eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.
ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.
To complete your application
Candidates must possess or be able to obtain work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.
NO AGENCY CALLS, PLEASE.
Find Out More At
www.zs.com
