Tech Architect for AI Engineering
2 months ago
Job Title: AI Engineering Architect
About the Role:
We are seeking an experienced AI Engineering Architect to lead the implementation of our enterprise application built on top of SQL and unstructured data using AutoGen, CrewAI, and Azure OpenAI GPT-4 Turbo. As a hands-on architect, you will be responsible for designing scalable, secure, and high-performance architecture for the Autogen-based LLM Integrated application.
Key Responsibilities:
- Collaborate with stakeholders to understand business requirements and translate them into architectural blueprints.
- Design data models and schemas for integrating operational data from relational databases into the application.
- Lead the implementation efforts, ensuring adherence to architectural guidelines and best practices.
- Develop robust APIs and interfaces for seamless communication between the application and relational databases.
- Write efficient and maintainable code, following coding standards and version control processes.
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.
- Core Python - Iterators, Generators, OOP concepts, Python Shell (REPL) and Object Relational Mapper, Data structure and Exception handling etc.
- AI Search, Vector Database creation for relational databases and unstructured data.
- Azure app services expertise in terms of building and deploying AI apps using cloud services.
- Deep expertise in Azure SQL, Azure Data Factory, Linked Services and Azure Synapse etc.
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