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    Job · 16549587

    PUNE · FULLTIME

    Manager, Engineering (AI & Agentic Platform)

    QAD logo

    QAD

    Pune · onsite · Posted 42d ago

    Sourced fromNaukri
    Undisclosed10–15 yrsfulltimePune

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    Section · 01

    About this role

    Job Description
    QAD | Redzone is seeking a technically strong Engineering Manager to lead our AI & Agentic Platform team. You will be responsible for building and scaling a production-grade AI platform for Manufacturing, combining strong people leadership with deep software engineering and AI expertise. This is a high-impact role at the intersection of modern cloud architecture, agentic AI systems, and industrial software.
    WHAT YOULL DO
    • Define technical priorities for the engineering team and collaborate cross-functionally with Product and other engineering teams.
    • Coach, mentor, and develop software and AI engineers to support their professional growth.
    • Manage a small, focused team - including engineers more specialized than you in specific AI domains.
    • Challenge architecture and design decisions without becoming a bottleneck; uphold high standards for code quality, security, and reliability.
    • Balance innovation, delivery speed, and production-grade quality when building and scaling platform services.
    • Lead technical decisions spanning AI, backend, frontend, data, and cloud infrastructure.
    • Drive the design and deployment of robust software using modern cloud, container, and microservices architectures.
    • Oversee integration of Agentic AI elements - agent orchestration, RAG, tool calling, and workflows.
    • Implement standards for AI governance, evaluation, and agent observability.
    Qualifications
    MUST-HAVE QUALIFICATIONS
    • Total Experience of around 10+ years with 5+ years managing or technically leading a small engineering team.
    • Strong software engineering and architecture background (ideally from a Senior / Principal / Tech Lead trajectory).
    • Solid understanding of AI/LLM technologies - RAG, agent orchestration, tool calling, and workflows.
    • Hands-on exposure to building and deploying Agentic AI systems (not just conceptual knowledge).
    • Good command of data architectures and pipelines.
    • Experience with cloud architectures and modern cloud-native design.
    • Working knowledge of DevOps, CI/CD, containers, and observability.
    • Ability to challenge technical decisions across AI, backend, frontend, data, and infrastructure.
    • Proven record delivering production-grade software end-to-end.
    NICE-TO-HAVE
    • Manufacturing, Industrial software, ERP, Supply Chain, WMS, or TMS experience.
    • AWS ecosystem familiarity - Bedrock, SageMaker, or equivalent.
    • Experience with Snowflake and/or Kubernetes.
    • Microservices and event-driven architecture patterns.
    • Background in AI governance, evaluation frameworks, and agent observability tooling.
    LEADERSHIP PROFILE
    The strongest candidates come from a Senior Software Engineer, Principal Engineer, or Tech Lead background who have grown into engineering management while retaining strong technical depth. You remain technically credible - you can engage deeply with architecture, debug hard problems, and set the bar - but you no longer need to be the strongest coder or AI specialist on the team.
    KEY SKILLS
    Software & Cloud Architecture
    Microservices Kubernetes AWS CI/CD Observability
    AI & Agentic Systems
    LLMs RAG Orchestration Tool Calling Evaluation
    Data Pipelines & Observability
    Snowflake Event-driven Monitoring Logging
    Engineering Leadership
    Coaching Cross-functional Technical Strategy Delivery
    EDUCATION
    • Bachelors degree in Engineering or a related technical field (required).
    • Masters degree, MBA, or equivalent graduate program (a plus).


    Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

    Sourced from naukri

    Section · 02

    Skills

    DevopsBedrockcode qualityamazon web servicesengineering leadershipEngineering Managementai governanceCloud InfrastructureContainerdeploymentDebugcloudERPArchitectureAi PlatformCloud ArchitectureData PipelineArtificial Intelligence

    Section · Company

    About QAD

    QAD logo

    QAD

    Software Product

    163

    employees

    1979

    47 years old

    Santa Barbara

    United States

    ₹12.5L PA avg

    Avg at QAD

    About

    QAD specializes in manufacturing ERP solutions, focusing on enhancing productivity and collaboration within manufacturing businesses globally.

    Industries

    Software ProductHardware & Networking

    Employee ratings

    10 reviews

    3.6/ 5

    Culture

    3.9

    Career growth

    2.9

    Work-life

    3.9

    Employees rate it well for

    Compensation & Benefits37Company Culture36

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