Country/Region:
IN
Requisition ID:
36271
Work Model:
Position Type:
Salary Range:
Location:
INDIA - PUNE - BIRLASOFT OFFICE - HINJAWADI
Title: Principal Architect
Description:
Area(s) of responsibility
Key Job Responsibilities
- Architecture & Design
- Define end-to-end AI/GenAI architecture for enterprise applications
- Design scalable solutions using LLMs, RAG pipelines, vector databases, and agentic workflows
- Azure AI Platform
- Architect solutions using Azure OpenAI, Azure ML, Databricks, AI Search
- Design cloud-native architectures (scalability, HA/DR, cost optimization)
- Development & Engineering
- Lead hands-on Python development for AI/ML and GenAI applications
- Build APIs, microservices, and reusable AI components
- GenAI Implementation
- Implement:
- RAG (retrieval-augmented generation) pipelines
- Vector search and embeddings
- Multi-agent and tool-calling frameworks
- Develop AI copilots, chatbots, and automation systems
- Governance & Security
- Ensure Responsible AI, compliance, and data governance (PII, lineage, security)
- Implement guardrails: prompt security, content filters
- Leadership & Collaboration
- Provide architecture guidance and mentor engineering teams
- Work with business stakeholders to translate requirements into solutions
Mandatory Skills
- AI/ML & GenAI
- LLMs (GPT or open-source), RAG, embeddings, vector databases
- Experience building enterprise GenAI solutions
- LangChain, LangGraph
- Agentic AI
- Programming
- Strong expertise in Python (mandatory)
- Experience with APIs, microservices
- Azure Cloud
- Hands-on with:
- Azure OpenAI / AI Studio
- Azure ML, Databricks, Synapse
- Storage (Blob, Cosmos DB), AI Search
- Architecture
- Experience designing scalable, distributed systems
- Strong knowledge of cloud-native architecture patterns
- Experience
- 10+ years in IT
- 5+ years in AI/ML
- 2+ years in Generative AI / LLM-based systems
Preferred Skills
- Experience with:
- LlamaIndex, Autogen, CrewAI
- Multi-agent systems
- Exposure to:
- Vector DBs
- Data platforms
- Cloud & Platform:
- Multi-cloud (AWS/GCP)
- Kubernetes, containers
- Governance:
- Data governance tools (Purview, cataloging, lineage)
- Certifications:
- Azure Solutions Architect / Azure AI Engineer