AI Technical Architect

RGBSI; Hyderabad; On-site; INR 3,500,000 - 6,000,000; 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, AI enablement of existing products, and ensure security, performance, and governance across the stack, with hands-on work in .NET, Python, Angular, and leading agentic AI frameworks.

Qualifications

• You bring 6+ years in software architecture with 2+ years in production agentic AI systems.
• You have a proven track record deploying agentic AI solutions at scale.
• You have deep expertise in the .NET ecosystem and modern frontend frameworks.
• You maintain a security-first mindset for enterprise applications.
• You bring experience with prompt engineering, model fine-tuning, and AI observability.
• You have 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 deployment

Prompt engineering

Model fine-tuning

AI observability

Security mindset

Frontend experience

.NET ecosystem

DevOps / CI/CD

Tools

LangChain

LangGraph

AutoGen

CrewAI

OpenAI

Azure AI Foundry

Python

RESTful APIs

Angular

TypeScript

Pinecone

Weaviate

ChromaDB

Qdrant

Docker

Kubernetes

OAuth 2.0

SOC2/GDPR

RAG

Chain of Thoughts

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