Head of Technology (Agentic AI & Platform Engineering)

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.