Head of Technology

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 ecosysteman 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 platformowning 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 practicesCI/CD, secure coding, sprint velocity tracking, delivery governance. 2. Agentic AI & ML Ownership - Lead design and development of advancedAgentic AI systems, multi-agent orchestration, LLM workflows, retrieval pipelines, and autonomous task frameworks. - Architect full-stack AI layersdata 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 lifecyclefrom 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+ yearsof progressive, hands-on experience leading engineering teams and tech organizations. - 5+ yearsof experience in appliedMachine Learning, Deep Learning, NLP, or LLMs. - At least 2 yearsof solid, demonstrable experience inAgentic AImulti-agent systems, autonomous agents, or complex LLM workflows. - Proven track record of deliveringmajor AI projectsfor 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 cmvision + 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 storytellerable 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.