AI Platform Architect

ConveGenius; Dadri; On-site; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Health insurance

Diverse team across India

Professional growth

Job summary

ConveGenius invites an experienced AI Platform Architect to design and scale AI infrastructure powering learning applications. You will oversee LLM serving, RAG pipelines, multi-agent orchestration, and model lifecycle management.

The role requires hands-on experience with training, safety design, and scalable distributed systems, within a fast-paced, impact-driven environment. You will lead a cross-functional team, own infrastructure choices, and drive AI platform maturity across India,

Qualifications

• Proven experience designing and scaling AI/LLM platforms.
• Deep knowledge of Generative AI, LLMs and system architectures.
• Hands-on model training, fine-tuning and deployment (PyTorch, LoRA, RLHF).

Responsibilities

• Design end-to-end AI platform architecture including LLM serving and RAG pipelines.
• Build scalable inference infra for millions of learners across devices.
• Define AI safety, governance and evaluation standards for production systems.
• Drive RAG and agentic AI architectures and orchestration patterns.
• Lead fine-tuning pipelines and ML model lifecycle management.
• Implement MLOps practices: CI/CD, experiment tracking, deployment versioning, rollback.

Skills

AI platform design

LLM deployment

Multi-agent orchestration

PyTorch

Docker & Kubernetes

AI security

Tools

Docker

Kubernetes

LangSmith

OpenTelemetry

Job description

Does working for 150+ million children of Bharat excite you?

Then this opportunity is for you!

About us:

ConveGenius is an AI-native education infrastructure company transforming how governments, enterprises, and social institutions deliver learning and governance outcomes at population scale. Operating across B2G and B2B segments, the company partners with state governments, CSR funders, philanthropies, and social enterprises to build intelligent education ecosystems that are both impactful and commercially sustainable.

At its core, ConveGenius runs two synergistic business lines:

• SwiftAI – the intelligence and automation layer that powers citizen engagement, governance efficiency, and real‑time decision‑making for governments and institutions.
• SwiftSchool – the learning infrastructure layer that integrates adaptive learning, digital classrooms, and analytics to drive measurable student and system outcomes.

This dual‑engine model enables ConveGenius to serve as the technology backbone for education reform — connecting classrooms, communities, and command centres through a unified AI‑powered framework. Unlike traditional edtech companies that deliver content, ConveGenius builds infrastructure — platforms that integrate deeply into public delivery systems while enabling private and philanthropic partners to scale their missions with measurable results.

With operations across 22+ Indian states and partnerships with multilaterals, CSR alliances, and government departments, ConveGenius has established itself as a partner‑friendly enterprise trusted for aligning policy priorities with social and financial returns. Supported by institutional investors and guided by a double bottom line philosophy, the company consistently delivers impact at scale and profitability with purpose.

As ConveGenius enters its next phase of growth, it is shaping the future of AI‑led public education infrastructure — where technology, partnerships, and governance intelligence converge to redefine how nations learn and thrive.

Role Overview:As the AI Platform Architect at ConveGenius, you'll design and scale the AI infrastructure that powers model training, fine‑tuning, inference, agentic workflows, and orchestration across our learning applications. You should understand how LLMs and foundation models are actually trained, not just served or fine‑tuned, and have worked on AI safety and security model design. Experience with benchmarking across AI systems and hands‑on work with multi‑agent orchestration frameworks is preferred. This role is part of a 0-to-1 vertical build. The person joining should be comfortable with ambiguity, high ownership, rapid iteration, hands‑on execution, team building, and periods of high‑intensity work during the early setup phase.

Key Responsibilities

• Design and own end‑to‑end AI platform architecture: LLM serving, RAG pipelines, agentic orchestration, and model lifecycle management.
• Build scalable LLM inference infrastructure capable of serving millions of concurrent learners across diverse devices and connectivity conditions.
• Define and enforce AI safety, governance, and evaluation standards across all AI systems deployed in production.
• Drive RAG and agentic AI architectures: retrieval design, tool use, multi‑agent frameworks, and orchestration patterns.
• Lead fine‑tuning pipeline design: LoRA, QLoRA, RLHF, DPO — from data preparation to production serving.
• Architect MLOps practices: CI/CD for models, experiment tracking, deployment versioning, and rollback mechanisms.
• Manage GPU cluster infrastructure: compute allocation, distributed training setup, and cost engineering.
• Drive AI unit‑economics by setting up token‑tracking, model drift metrics, and distributed tracing via OpenTelemetry, LangSmith, or Databricks.
• Collaborate with product, data, and engineering teams to translate AI platform capabilities into learner‑facing features.
• Mentor and grow a cross‑functional team of ML engineers, platform engineers, and AI researchers.
• Design and operate multi‑tenant AI platform infrastructure ensuring isolation, fairness, and cost attribution across teams.
• Incorporate Indic language NLP requirements into platform design: multilingual embedding support, code‑switching handling, and Indic model serving.

Must‑Have Skills

• Strong experience in designing and scaling AI/LLM platforms
• Deep understanding of Generative AI, LLMs, and AI system architecture
• Hands‑on experience with model training, fine‑tuning, and deployment (PyTorch, LoRA, RLHF, DeepSpeed, Megatron‑LM)
• Experience with inference frameworks such as vLLM, Triton, or TGI
• Strong knowledge of RAG, Graph‑RAG, vector databases, and agent orchestration
• Understanding of distributed systems, cloud infrastructure, scalability, and security
• Exposure to Indian‑language NLP is preferred
• Working hands‑on experience with AWS (Bedrock, SageMaker), Azure AI, or GCP; Docker, Kubernetes (EKS/GKE) etc is a plus.
• Deep understanding of how LLMs and foundation models are trained (not just fine‑tuned) — model training pipelines, distributed training, dataset construction; hands‑on experience with AI safety and security model design; proficiency in AI benchmarking methodologies and multi‑agent orchestration frameworks

What We Offer and Why You Should Join ConveGenius

At ConveGenius, we create an environment where purpose meets growth. You will be part of a mission driven organization that is transforming how learning reaches children across India, especially at scale and where it matters most.

• Work with a diverse and passionate team spread across India, bringing together people from different backgrounds, perspectives, and expertise.
• Be part of an organization with a strong on ground presence across more than two thirds of India, giving you exposure to large scale, real world impact.
• Play a meaningful role in strengthening the education ecosystem and contributing directly to learning outcomes for millions of children.
• Gain experience working at the intersection of education, technology, and public systems, building skills that are highly relevant and future focused.
• Work in a culture that values ownership, learning, and collaboration, with space to take initiative and grow professionally.
• Enjoy stability and peace of mind with employee friendly benefits, including health insurance coverage and other supportive policies.
• If you are driven by purpose, enjoy solving complex problems, and want your work to create visible impact, ConveGenius offers a place to grow while making a difference.