AI Technical Architect

RGBSI; India; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

RGBSI seeks a Senior AI Architect to lead end-to-end development of customer-facing AI applications—from architecture design through production deployment.

You will drive New Product Development, AI enablement of existing products, and ensure performance, security and governance across the platform.

Qualifications

• 6+ years in software architecture with 2+ years in production Agentic AI Systems.
• Proven track record deploying agentic AI solutions at scale.
• Deep expertise in .NET ecosystem and modern frontend frameworks.
• Security-first mindset for enterprise applications.
• Experience with prompt engineering, model fine-tuning, and AI observability.
• Experience with function calling, semantic search, streaming responses, and AI cost optimization.
• AI Frameworks: LangChain, LangGraph, AutoGen, CrewAI, or similar agentic frameworks.
• LLM Integration: Anthropic Claude, Azure AI Foundry, OpenAI, AWS Bedrock.
• Backend: .NET Core (C#), Python, RESTful APIs, microservices architecture.
• Frontend: Angular, TypeScript, real-time UI for AI interactions.
• Vector DBs: Pinecone, Weaviate, ChromaDB, or Qdrant
• Cloud & DevOps: Azure/AWS, Docker, Kubernetes, CI/CD pipelines
• Security: OAuth 2.0, API security, data encryption, compliance (SOC2, GDPR)
• Orchestration: Multi-agent workflows, tool calling, RAG (Retrieval-Augmented Generation), Chain of Thoughts

Responsibilities

• Lead end-to-end development of customer-facing AI applications from architecture design through production deployment.
• New Product Development
• AI Enablement of Existing Products
• Performance, Security and Governance

Skills

C#/.NET

Frontend frameworks

AI observability

Prompt engineering

Model fine-tuning

Security-first

Multi-agent workflows

LangChain

Azure/AWS

RESTful APIs

Microservices

TypeScript

Angular

Kubernetes

CI/CD

Job description

Role & responsibilities

• Lead end-to-end development of customer-facing AI applications from architecture design through production deployment.
• New Product Development
• AI Enablement of Existing Products
• Performance, Security and Governance

Preferred candidate profile

You Bring:

• 6+ years in software architecture with 2+ years in production Agentic AI Systems
• Proven track record deploying agentic AI solutions at scale
• Deep expertise in .NET ecosystem and modern frontend frameworks
• Security-first mindset for enterprise applications
• Experience with prompt engineering, model fine-tuning, and AI observability
• Experience with function calling, semantic search, streaming responses, and AI cost optimization.

• AI Frameworks: LangChain, LangGraph, AutoGen, CrewAI, or similar agentic frameworks
• LLM Integration: Anthropic Claude, Azure AI Foundry, OpenAI, AWS Bedrock
• Backend: .NET Core (C#), Python,RESTful APIs, microservices architecture
• Frontend: Angular, TypeScript, real-time UI for AI interactions
• Vector DBs: Pinecone, Weaviate, ChromaDB, or Qdrant
  Cloud & DevOps: Azure/AWS, Docker, Kubernetes, CI/CD pipelines
• Security: OAuth 2.0, API security, data encryption, compliance (SOC2, GDPR)
• Orchestration: Multi-agent workflows, tool calling, RAG (Retrieval-Augmented Generation), Chain of Thoughts