BENGALURU · FULLTIME
Manager - AI Engineering
ZS
Bengaluru · onsite · Posted 71d ago
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Undisclosed10–15 yrsfulltimeBengaluru
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Section · 01
About this role
Engineering Lead 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 delivery commitments with long-term platform health, scalability, and reuse.
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
Sourced from naukri
Section · 02
Skills
DevopsTechnical Leadershipengineering standardscloud platformsapisuse casesdata systemsgoogle cloud platformamazon web servicesEngineering ManagementleadershipLarge Language Models (LLMs)Flask FrameworkData EngineeringPythonArchitectureSoftware EngineeringMicrosoft AzureArtificial IntelligenceCoaching
Section · Company
About ZS
ZS
Management Consulting
8.9k+
employees
1983
43 years old
Pune, Maharashtra
India
About
ZS is a management consulting and technology firm that partners with companies to improve life and how we live it.
Industries
Management ConsultingEmerging Technologies
Employee ratings
2,744 reviews
3.1/ 5
Culture
3.2
Career growth
3.0
Work-life
2.1
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