Gen Ai Architect

Country/Region: IN
- Requisition ID: 22587
- Work Model:

- Position Type:

- Salary Range:

- Location: INDIA - BENGALURU - BIRLASOFT OFFICE

**Title**:Gen AI Architect**:

- Description:

**Area(s) of responsibility**:
GenAI Engineering Architect (Must have - Autogen,CrewAI and WrenAI)

**Responsibilities**:
Architectural Design:
Collaborate with stakeholders to understand business requirements and translate them into architectural blueprints.
Implementation and Development:
Lead the implementation efforts, ensuring adherence to architectural guidelines and best practices.
Write efficient and maintainable code, following coding standards and version control processes.
Integration and Testing:
Troubleshoot and debug issues as they arise during the integration and testing phases.
Optimization and Performance Tuning:
Implement performance tuning strategies to improve the speed, reliability, and efficiency of data retrieval and processing.
Continuously monitor system performance and proactively address any degradation or inefficiencies.
Documentation and Knowledge Sharing:
Create comprehensive technical documentation, including architecture diagrams, API specifications, and deployment procedures.
Conduct knowledge sharing sessions to disseminate architectural knowledge and best practices among team members.
Provide guidance and mentorship to junior team members, fostering their professional growth and development.

**Essential job tasks**:
**Requirements**:
**Must have : Autogen Framework, CrewAI, WrenAi, SQL Agents, AG-Grid Flask / Django / Fast API development expertise with least 2-3 project delivered as a lead developer / implementation architect.**
**Must have : Core Python - Iterators, Generators, OOP concepts, Python Shell (REPL) and Object Relational Mapper, Data structure and Exception handling etc.**
**Must have : AI Search,Vector Database creation for relational databases and unstructured data**
**Must have : Azure app services expertise in terms of building and deploying AI apps using cloud services.**
**Must have : Deep expertise in Azure SQL, Azure Data Factory, Linked Services and Azure Synapse etc.**
**Deep, hands-on and architectural proficiency in Python,Ag-Grid and ReactJS**
**Hands-on expertise of SharePoint indexes and data/file structures (Azure SQL)**
**Good knowledge of Azure Form Recognizer for OCR of complex images, forms and other data**
**Handson with implementing TaskWeaver, Autogen, Agentic Flows, Retrieval Augmented Generation (RAG) and RLHF (Reinforcement Learning from Human Feedback)**
**Designing and implementing vector databases on Azure cloud using Ai Search and Cosmos DB vCore**
**Sound project implementation level knowledge of Pinecone,FAISS,Weaviate or ChromaDB**
**Deep expertise in Prompt Engineering using DsPy tools etc.**
**Knowledge of NLP techniques like transformer networks, embeddings, intent recognition etc.**
**Hands-on skills on Embedding and finetuning Azure OpenAI using MLOPS/LLMOPS pipelines.**
**Strong communication, architectural sketching, and collaboration skills