Lead Architect – AI Systems & Cloud Infrastructure

Humigent; Gurugram District; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Humigent AI is seeking a Senior Architect – DevOps & Full-Stack to own the architecture, scalability, reliability, and security of its agentic AI platforms in Gurgaon. You will drive LangGraph-driven designs, multi-cloud strategy, and platform excellence across backend, frontend, and data layers.

You will mentor engineers, define CI/CD pipelines, and establish scalable patterns for ingestion, storage, and discovery.

Qualifications

• Experience designing scalable cloud architectures across AWS and Azure.
• Hands-on leadership in DevOps and full-stack roles.
• Experience with knowledge-graph-driven AI applications.
• Mentor teams and build reusable platform components.

Responsibilities

• Define architecture for Agentic AI applications using LangGraph + LLMs + Knowledge Graphs.
• Design scalable microservices, event-driven systems, and multi-agent environments.
• Establish architecture patterns for ingestion, retrieval, reasoning, evaluation, and UI layers.
• Create end-to-end diagrams, design docs, standards, and reusable platform components.

Skills

Python (FastAPI/Flask)

React/Next.js

Knowledge Graphs

LangGraph / CrewAI multi-agent design

SQL (PostgreSQL)

Tools

Terraform / CloudFormation

GitHub Actions

Docker

CloudWatch / Azure Monitor

ELK / Grafana

Job description

Company: Humigent AI Location: Gurgaon Experience: 10+ years Role Type: Full-Time | Leadership Track Domains: Agentic AI, Multi-Cloud DevOps, Knowledge Graphs, Scalable Enterprise Applications

Role Overview

The Senior Architect – DevOps & Full-Stack will:

• Own the architecture, scalability, reliability, and security of Humigent AI’s applications and agentic systems
• Architect knowledge-graph-driven AI applications
• Mentor engineering teams and build a world-class technical foundation for all Humigent AI products

This role is a hands-on senior technical leadership position , combining architecture, DevOps excellence, full-stack engineering, and platform thinking.

Key Responsibilities

• Define architecture for Agentic AI applications using LangGraph + LLMs + Knowledge Graphs
• Design scalable microservices, event-driven systems, and multi-agent execution environments
• Establish architecture patterns for ingestion, retrieval, reasoning, evaluation, and UI layers
• Create end-to-end diagrams, design docs, standards, and reusable platform components

Mandatory expertise in both clouds

• Architect and manage production workloads on:
  • AWS: EC2, ECS/EKS, Lambda, S3, RDS, DynamoDB, API Gateway
  • Azure: App Service, Functions, Azure OpenAI, Blob Storage, Azure SQL/PostgreSQL
• Build secure VPC/VNet architectures
• Implement IaC using Terraform / CloudFormation
• Establish logging, monitoring, and observability (CloudWatch, Azure Monitor, ELK, Prometheus, Grafana)
• Create CI/CD pipelines with GitHub Actions and Docker
• Lead performance engineering, autoscaling, load balancing, and failover strategies
• Architect and review backend systems using Python (FastAPI/Flask)
• Drive front-end architecture using React/Next.js
• Create high-performance APIs, reusable components, and scalable microservices
• Own versioning, releases, code quality, and branching strategy
• Knowledge Graph + Ontology Architecture

Mandatory deep experience

• Architect solutions using Neo4j, AWS Neptune, Azure Cosmos DB (Gremlin)
• Define ontology schemas (OWL/JSON-LD), triple models, semantic layers
• Build reasoning pipelines (GraphRAG, hybrid KG + LLM retrieval)
• Integrate KGs with multi-agent systems for deterministic insights
• Ensure graph performance, security, versioning, and governance
• LLM, RAG & Agentic Integration
• Architect RAG pipelines with embeddings, vector DBs, caching, and re-ranking
• Integrate with OpenAI, Azure OpenAI, AWS Bedrock
• Build LangGraph, CrewAI and other Agentic AI based flows with custom tools and evaluators
• Define memory strategies, state machines, and agent orchestration patterns
• Mentor full-stack, backend, DevOps, and agentic engineers
• Establish coding guidelines, architecture reviews, and best practices
• Collaborate with founders, product teams, domain experts, and clients
• Translate business use cases into scalable system designs

Required Skills (Mandatory)

Technical Mastery

• Python (FastAPI/Flask) + React/Next.js
• Knowledge Graph technologies (Neo4j/Neptune/CosmosDB)
• LangGraph or CrewAI multi-agent system design
• SQL mastery (PostgreSQL preferred)
• Ingestion pipelines (structured + unstructured data)

Soft Skills

• Strong ownership and architectural thinking
• Excellent communication; ability to influence and guide teams
• Ability to simplify complex concepts for business stakeholders
• Calm under pressure; high accountability
• Passion for AI, cognitive reasoning, and building world-class systems

Nice to Have

• Experience in pharma, healthcare, food-tech domains
• Experience with metric layers (DBT, semantic layers, metric stores)
• Experience with time-series modeling and forecasting
• Publications, open-source contributions, patents