Head of Technology

Job Description: Head of Technology (Agentic AI & Platform Engineering)Location: Noida, India (NCR Preferred)Company: GrowQRExperience: 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 OverviewYou 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 Responsibilities1. 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 QualificationsExperience & 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.