AI Engineer – Technical Consultant (AI Integration)

Vrinda International; Bengaluru; On-site; INR 1,800,000 - 2,200,000; Full time

Job summary

Vrinda International is seeking an AI Engineer – Technical Consultant to drive AI integration across its IT Services division, architecting robust AI strategies and enabling automated, data-driven decision making.

You will design scalable architectures with Azure AI Foundry and Copilot, develop NLP models with RAG, and build data pipelines using Azure Databricks, PySpark, Python, and SQL, ensuring high-availability and governance of autonomous AI agents.

Qualifications

• Minimum of 8 to 12 years of professional experience in data engineering, machine learning, or AI solution architecture.
• Proven proficiency in Azure AI Foundry and Microsoft Copilot technologies.
• Deep expertise in Natural Language Processing (NLP) and experience implementing RAG architectures.
• Strong hands-on knowledge of Vector Databases and Agent Governance principles.
• Advanced skills in Azure Databricks, PySpark, Python, and SQL for big data processing.
• Demonstrated experience with Azure Data Factory (ADF) and Azure Data Lake Storage (ADLS).
• Ability to design end-to-end AI integration solutions within the IT Services sector.
• Compensation package is structured at ₹20 LPA, commensurate with the required skill set and experience level.

Responsibilities

• Design and deploy scalable AI architectures utilizing Azure AI Foundry and Copilot to enhance operational efficiency.
• Develop sophisticated NLP models and implement Retrieval-Augmented Generation (RAG) frameworks for intelligent interfaces.
• Engineer and maintain vector databases to support advanced search and knowledge retrieval.
• Establish Agent Governance protocols for reliable, secure, and ethical AI deployment.
• Build and optimize data pipelines using Azure Databricks, PySpark, Python, and SQL.
• Integrate data ingestion and transformation with Azure Data Factory (ADF) and ADLS.
• Collaborate with cross-functional teams to translate business requirements into AI solutions.
• Conduct performance tuning and optimization for AI models and data infrastructure.

Job description

AI Engineer – Technical Consultant (AI Integration)

Job Description

Summary

We are seeking a highly skilled AI Engineer – Technical Consultant to drive the integration of advanced artificial intelligence solutions within our IT Services division. In this pivotal role, you will leverage your extensive expertise to architect and implement robust AI strategies, ensuring seamless deployment of cutting-edge technologies. Your work will be instrumental in transforming business processes through intelligent automation and data-driven insights, directly contributing to the organization's strategic objectives and technological leadership in the AI landscape.

Responsibilities

• Design and deploy scalable AI architectures utilizing Azure AI Foundry and Copilot to enhance operational efficiency.
• Develop sophisticated Natural Language Processing (NLP) models and implement Retrieval-Augmented Generation (RAG) frameworks to deliver intelligent conversational interfaces.
• Engineer and maintain vector databases to support advanced search capabilities and knowledge retrieval systems.
• Establish comprehensive Agent Governance protocols to ensure the reliability, security, and ethical deployment of autonomous AI agents.
• Build and optimize large-scale data pipelines using Azure Databricks, PySpark, Python, and SQL for efficient data processing and analytics.
• Integrate data ingestion and transformation workflows leveraging Azure Data Factory (ADF) and Azure Data Lake Storage (ADLS).
• Collaborate with cross-functional teams to translate complex business requirements into technical AI solutions.
• Conduct performance tuning and optimization of AI models and data infrastructure to meet high-availability standards.

Requirements

Requirements:

• Minimum of 8 to 12 years of professional experience in data engineering, machine learning, or AI solution architecture.
• Proven proficiency in Azure AI Foundry and Microsoft Copilot technologies.
• Deep expertise in Natural Language Processing (NLP) and experience implementing RAG architectures.
• Strong hands‑on knowledge of Vector Databases and Agent Governance principles.
• Advanced skills in Azure Databricks, PySpark, Python, and SQL for big data processing.
• Demonstrated experience with Azure Data Factory (ADF) and Azure Data Lake Storage (ADLS).
• Ability to design end-to-end AI integration solutions within the IT Services sector.
• Compensation package is structured at ₹20 LPA, commensurate with the required skill set and experience level.