Manager - AI Engineering
ZS · Bengaluru · onsite · Posted 2d ago
Undisclosed10–15 yrsfulltimeSourced from
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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
Skills
DevopsTechnical Leadershipengineering standardscloud platformsapisuse casesdata systemsgoogle cloud platformamazon web servicesEngineering ManagementleadershipLarge Language Models (LLMs)Flask FrameworkData EngineeringPythonArchitectureSoftware EngineeringMicrosoft AzureArtificial IntelligenceCoaching
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
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