Head of Technology (Agentic AI & Platform Engineering)

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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 advanced

  Agentic 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+ 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 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.