AI Technical Architect

RGBSI; Mumbai; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

RGBSI is seeking a senior software architect to lead end-to-end development of customer-facing AI applications from architecture design through production deployment. You will drive new product development and enable AI for existing products while ensuring performance, security and governance across the stack.

The role requires deep expertise in the .NET ecosystem, modern frontend frameworks, and a security-first mindset for enterprise-scale solutions, including prompt engineering, model

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.

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

Software architecture

Agentic AI systems production

AI deployment at scale

.NET ecosystem

Frontend frameworks

Security mindset

Prompt engineering

Model fine-tuning

AI observability

Function calling

Semantic search

LangChain

LangGraph

AutoGen

CrewAI

Azure/AWS LLMs

Docker

Kubernetes

CI/CD

OAuth 2.0

Tools

LangChain

LangGraph

AutoGen

CrewAI

Anthropic Claude

Azure AI Foundry

OpenAI

AWS Bedrock

Angular

TypeScript

Pinecone

Weaviate

ChromaDB

Qdrant

Docker

Kubernetes

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