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Head Of Technology (Agentic Ai & Platform Engineering)
Head Of Technology (Agentic Ai & Platform Engineering)GROWQR • Noida, Republic Of India, IN
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Head Of Technology (Agentic Ai & Platform Engineering)

Head Of Technology (Agentic Ai & Platform Engineering)

GROWQR • Noida, Republic Of India, IN
14 hours ago
Job description

Job Description : Head of Technology (Agentic AI & Platform Engineering)

Location : Noida, India (NCR Preferred)

Company : GrowQR

Experience : 10+ Years (with 5+ Years in AI / ML & 2+ Years in Agentic AI)

GrowQR is building a next-generation readiness and opportunity ecosystem—an AI-driven lattice where individuals, organizations, and cities sync through dynamic Q-Scores, Skills Passports, and intelligent agents. We’re looking for a Head of Technology who can architect this future with steady hands and a mind wired for large-scale transformation.

Role Overview

You will serve as the technology compass for our platform—owning architecture, engineering velocity, product-tech alignment, and the entire AI / Agentic innovation pipeline. The role requires a builder’s instinct, an architect’s discipline, and a delivery leader’s calm confidence. You’ll lead engineering teams, shape platform roadmaps, and bring agentic AI concepts to life from first sketch to deployment.

Key Responsibilities

1. Technology Leadership & Vision

  • Define and evolve GrowQR's long-term technology architecture, ensuring scalability, modularity, and low-latency agentic flows.
  • Translate strategic business objectives into actionable engineering roadmaps.
  • Build and mentor high-performing engineering pods (AI, backend, frontend, DevOps, data, QA).
  • Establish engineering best practices—CI / CD, secure coding, sprint velocity tracking, delivery governance.

2. Agentic AI & ML Ownership

  • Lead design and development of advanced Agentic AI systems , multi-agent orchestration, LLM workflows, retrieval pipelines, and autonomous task frameworks.
  • Architect full-stack AI layers—data ingestion, modeling, vector stores, RAG, evaluation, monitoring.
  • Deliver production-grade AI / ML features with measurable performance benchmarks.
  • Stay ahead of emerging AI ecosystems (OpenAI, Anthropic, Gemini, Llama, CrewAI, etc.).
  • 3. End-to-End Delivery & Execution

  • Own the entire lifecycle—from concept → storyboarding → low-fidelity flows → architecture → development → testing → deployment → optimization.
  • Implement strong observability, logging, monitoring, and reliability frameworks.
  • Manage technical risk, dependencies, and timelines for multi-team, multi-stream delivery.
  • Drive cloud infrastructure strategy (Azure / GCP / AWS) with an emphasis on cost efficiency and robustness.
  • 4. Product & Cross-Functional Collaboration

  • Work closely with Product, Design, UX, and Business teams to convert ideas into functional realities.
  • Translate user personas and customer journeys into technical specifications.
  • Support GTM, enterprise onboarding, and integrations with partners / clients.
  • 5. Architecture & Platform Innovation

  • Architect distributed systems with an emphasis on minimal hops, modular agents, and high throughput.
  • Oversee API strategy, microservices, data pipelines, event-driven architecture, and governance.
  • Build secure, compliant frameworks for identity, authentication, data privacy, and role-based access.
  • Required Qualifications

    Experience & Technical Expertise

  • 10+ years of progressive, hands-on experience leading engineering teams and tech organizations.
  • 5+ years of experience in applied Machine Learning, Deep Learning, NLP, or LLMs .
  • At least 2 years of solid, demonstrable experience in Agentic AI —multi-agent systems, autonomous agents, or complex LLM workflows.
  • Proven track record of delivering major AI projects for global clients or MNCs (enterprise scale preferred).
  • Strong knowledge of modern tech stacks : Python, Node.Js / TypeScript, FastAPI, LangChain, CrewAI, vector DBs, event buses, microservices, API gateways.
  • Deep grounding in cloud-native engineering : Kubernetes, serverless, observability, infra-as-code.
  • Experience with real-time systems, distributed architectures, and performance optimization.
  • Leadership & Execution Skills

  • Ability to think from both 10,000 ft and 10 cm—vision + precision.
  • Strong team building and people development orientation.
  • Exceptional communication skills and an instinct for simplifying complexity.
  • Proven ability to deliver under deadlines and lead through ambiguity.
  • Preferred Attributes

  • Prior startup or zero-to-one product leadership experience.
  • Familiarity with consumer and enterprise marketplaces, HR-Tech, Ed-Tech, or AI ecosystems.
  • A natural storyteller—able to express architecture, logic, and product intent with clarity.
  • Hunger for innovation;
  • comfort with evolving landscapes and rapid prototyping.

    What This Role Offers

  • Ownership of the entire technology spine of a rapidly scaling AI platform.
  • Opportunity to build an Agentic AI ecosystem with real-world social and economic impact.
  • A chance to lead a world-class engineering culture in NCR.
  • Equity + leadership growth as GrowQR scales globally.
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    Head Of Technology • Noida, Republic Of India, IN

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