AI Technical Architect

RGBSI; Pune District; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

RGBSI seeks a Senior Software Architect to lead end-to-end design and delivery of customer-facing AI applications in Pune. You will own architecture, deployment, and governance while enabling new products and AI-augmented existing offerings.

A security-first approach and strong experience with LangChain-style frameworks are essential. You will collaborate across teams to ensure scalable, observable AI systems with robust performance and cost efficiency, driving innovation in enterprise-grade

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

AI Deployment at Scale

NET ecosystem

Frontend Frameworks

Security-first Mindset

Prompt Engineering

Model Fine-Tuning

AI Observability

Function Calling

Semantic Search

Streaming AI Responses

AI Cost Optimization

Tools

LangChain

LangGraph

AutoGen

CrewAI

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