Birlasoft is hiring a Lead Architect responsible for designing and implementing end-to-end GenAI-first and Agentic AI solutions on Azure. You will play a key role in architecting complex systems and establishing engineering standards for AI performance and governance.
What You'll Do
- Architect end-to-end GenAI-first and Agentic AI solutions on Azure using Azure OpenAI Service, Azure AI Foundry, Azure Agents, and Azure ML.
- Design multi-agent systems capable of planning, reasoning, memory management, tool invocation, and complex workflow execution.
- Architect enterprise-grade RAG systems using Azure Cognitive Search, Azure AI Search Vector Stores, Cosmos DB + pgvector, and Redis Enterprise on Azure.
- Build secure prompt pipelines, embeddings workflows, tool integration layers, and model evaluation frameworks optimized for Azure’s GenAI stack.
- Build Python-based microservices (FastAPI/Django) tightly integrated with Azure AI and cloud-native components.
- Implement enterprise-grade LLMOps using Azure ML Pipelines, Azure DevOps, GitHub Actions, Azure Monitor, App Insights, and Log Analytics.
- Establish engineering standards for agent governance & safety, content filters & guardrails, secure model invocation, latency reduction, performance tuning & cost governance.
- Optimize AI workloads using model caching, selective batching, adaptive routing, vector index optimization, and autoscaling strategies on AKS/Functions.
- Lead architecture reviews, threat modeling, cost modeling, and performance benchmarking for large-scale GenAI workloads.
- Evaluate new Azure GenAI capabilities, FMs, agent frameworks, vector databases, and orchestration tools.
- Build internal accelerators and reusable reference architectures for multi-agent orchestration, RAG 2.0, federated & hybrid retrieval patterns, and enterprise system/tool integration.
- Drive PoCs, prototypes, and tech spikes to validate emerging Azure GenAI capabilities and accelerate enterprise adoption.
What We're Looking For
- Microsoft Certified Azure Solutions Architect Expert or equivalent Azure Architect certification.
- Strong hands-on experience designing AI/ML or GenAI systems on Azure.
Technical Stack
- Azure AI: Azure OpenAI Service, Azure AI Foundry, Azure Agents (Agent Service + Agent Runtime), Microsoft Agent Framework SDK, Azure Machine Learning (Azure ML)
- Search & Data: Azure Cognitive Search, Azure AI Search Vector Stores, Cosmos DB + pgvector, Redis Enterprise on Azure
- Backend & Ops: Python, FastAPI/Django, Azure ML Pipelines, Azure DevOps (ADO), GitHub Actions, Azure Monitor, App Insights, Log Analytics, AKS/Functions
- Frameworks: Langgraph, CrewAI
Birlasoft is an equal opportunity employer.
