GenAI Engineering Architect

Birlasoft; Bengaluru; On-site; INR 1,500,000 - 2,200,000; Full time

Job summary

A leading IT consulting firm is seeking a GenAI Engineering Architect to lead the development of AI applications using advanced technologies like AutoGen and Azure. The ideal candidate will have extensive experience in architecting complex AI solutions, particularly in the context of SQL and unstructured data. This role requires a blend of deep technical skills and leadership capabilities to deliver innovative applications that drive insights from large datasets.

Qualifications

• 9-10 years of overall technology experience in core application development.
• At least 3 years in AI project architectural leadership.
• 5+ years’ experience leading the development of AI applications.

Responsibilities

• Implement enterprise applications using SQL and unstructured data.
• Deliver complex AI applications end-to-end on large operational databases.
• Proficiency in rapid PoC/Prototyping and demonstrating application blueprints.

Skills

Python

AI Search

Flask

Django

FastAPI

Ag-Grid

ReactJS

Tools

Azure SQL

Azure Data Factory

Azure Synapse

AutoGen

CrewAI

WrenAI

Job description

2 weeks ago Be among the first 25 applicants

GenAI Engineering Architect (Must have - AutoGen, CrewAI and WrenAI)

This role requires hands-on project expertise to implement an enterprise application built on top of SQL and unstructured data (images, videos, logs, etc.) using AutoGen, CrewAI, Azure OpenAI GPT-4 Turbo, and GPT-4V with PTUs.

This is a hands-on architect role requiring both deep technical skills and the ability to deliver complex AI applications end-to-end on large operational databases to render charts, tables, and other insights as completions from NLP-based prompts.

Deep experience with AutoGen and Azure AI Search is a MUST.

Requirements:

• Must have: AutoGen Framework, CrewAI, WrenAI, SQL Agents, expertise in Flask / Django / FastAPI development with at least 2-3 projects delivered as a lead developer or implementation architect.
• Must have: Core Python – Iterators, Generators, OOP concepts, Python Shell (REPL), Object Relational Mapper, Data structures, and Exception handling.
• Must have: AI Search, Vector Database creation for relational and unstructured data.
• Must have: Azure app services expertise in building and deploying AI applications using cloud services.
• Must have: Deep expertise in Azure SQL, Azure Data Factory, Linked Services, and Azure Synapse.
• 9-10 years of overall technology experience in core application development plus at least 3 years in AI project architectural leadership.
• 5+ years’ experience leading AI application development using Python backend frameworks and multiple inference pipelines.
• Rapid PoC/Prototyping skills with the ability to build and demonstrate application blueprints independently.
• Deep hands-on and architectural proficiency in Python, Ag-Grid, and ReactJS.
• Hands-on expertise with SharePoint indexes and data/file structures (Azure SQL).

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• IT Services and IT Consulting

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Additional Details

CloudSec-Architecture design, review, and implementation

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