As the Founding AI Systems Architect, you will be responsible for designing and building the core infrastructure that powers every AI system inside GrowthX.
Think of this role as building the operating system—not the applications.
You will define the architecture, engineering standards, reusable frameworks, and core services that enable multiple AI-powered business engines to work together seamlessly.
This is a senior engineering position requiring deep expertise in scalable software architecture,
AI systems, backend engineering, APIs, distributed systems, and automation.
Core Responsibilities
AI Operating System
Architect and build the core platform responsible for:
● AI agent orchestration
● Multi-agent communication
● Shared memory architecture
● Knowledge base / RAG
● Workflow orchestration
● Queue management
● Model routing
● Authentication & authorization
● API gateway
● Logging & monitoring
● Infrastructure management
● Cost optimization
AI Platform Architecture
Design reusable infrastructure for
● AI agent lifecycle management
● Shared services
● Tool execution
● Event-driven architecture
● Background workers
● Scalable APIs
● Agent communication protocols
● Security and permissions
● Error handling and recovery
Engineering Leadership
● Define system architecture and engineering standards
● Review technical designs and code quality
● Mentor AI Automation Engineers
● Establish best practices for scalability, testing, and deployment
● Collaborate with leadership on the product roadmap
Infrastructure & DevOps
Design and manage
● Cloud infrastructure
● Dockerized services
● CI/CD pipelines
● Monitoring & observability
● Performance optimization
● Security best practices
● API infrastructure
AI & Data Infrastructure
Build systems supporting
● LLM integrations
● Prompt orchestration
● Vector databases
● RAG pipelines
● AI memory systems
● Data ingestion
● Knowledge management
Required Qualifications
Software Engineering
● 8+ years of backend or software engineering experience
● Robust Python expertise
● JavaScript/TypeScript experience
● REST API development
● SQL & PostgreSQL
● Distributed systems architecture
● Event-driven systems
● Git & CI/CD
AI Engineering
Experience building production AI systems using:
● OpenAI APIs
● Anthropic Claude
● Google Gemini
● LangChain or LangGraph (preferred)
● MCP (preferred)
● AI agent frameworks
● RAG architectures
● Prompt engineering
● Vector databases
Infrastructure
Experience with
● Docker
● Cloudflare
● AWS, Azure, or GCP
● Linux
● Redis
● Monitoring tools
● Cloud infrastructure
Preferred Experience
● AI Operating Systems
● Multi-agent frameworks
● Platform engineering
● Workflow orchestration
● Automation platforms
● Martech infrastructure
● SaaS architecture
Success Metrics
● Stable AI platform architecture
● Reliable AI agent execution
● Scalable infrastructure
● High platform uptime
● Engineering quality
● Secure and maintainable systems
● Successful delivery of reusable platform services
📌 AI Systems Architect (India)
🏢 GrowthX
📍 India
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