18 Sep
|
Artech Infosystems
|
Mumbai
18 Sep
Artech Infosystems
Mumbai
Description: Role Descriptions: AI/ML Architect with RAG and Azure
Job Requirements-
•Hands on experience in creating complex architecture diagram for Azure AI and Copilot Agent in Studio
•5+ relevant years of experience using Python.
•Python and experience with relevant libraries and frameworks (e.g., NumPy, pandas, Rapid API).
•Ability to work efficiently within a rapid-paced, deadline-driven workplace, prioritize tasks, manage time effectively, and communicate challenges or issues proactively
Key Responsibilities-
Define cloud-native GenAI/RAG reference architectures on Azure.
•Design and deliver AI solutions for IT and Business Services
•Lead pipelines for PDF/image OCR, layout-aware parsing, semantic chunking, and metadata enrichment.
•Implement vector + lexical hybrid search and semantic rerankers.
•Design prompt strategies, context assembly, and answer validation.
•Build secure, scalable deployments on AKS/Functions with CI/CD and observability.
•Enforce policy controls, content filtering, and auditability.
•Translate business goals into technical solution documents,
roadmaps and mentor engineers.
Topic of Evaluation / Skills-
Python concepts and Framework
Docker and Microservices
Azure OpenAI Service, AKS, Azure DevOps
FAISS/Milvus/Weaviate
LangChain, Semantic Kernel and prompt engineering frameworks
MS365 Copilot Studio
Azure AI Studio and third-party integrations (Cohere/Bedrock/Vertex)
GenAI/RAG reference architectures on Azure
Location - Chennai/Mumbai/Pune
Experience Required: 6+ years
Sample Questions -
Explain how Application Insights/Azure Monitor can be used to observe LLM behaviors, drift, or latency .
What are the key differences between fine‑tuning, prompt engineering, and grounding via vector search in Azure OpenAI? When would you use each?
Compare FAISS, Milvus, and Azure Cognitive Search’s vector store. When would you choose one over the other?
How do knowledge sources (SharePoint, Dataverse, URLs, files) behave differently inside Copilot Studio agents? What are their limitations?
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