AI Engineer – Technical Consultant (AI Integration)
Vrinda International
- Location
- Onsite (Bangalore, Karnataka)
- Compensation
- INR 2000k/yr
- Employment
- Full-time
- Level
- Senior Level
Posted Today
About the role
Vrinda International is seeking an AI Engineer to architect and implement advanced AI solutions within its IT Services division. The role focuses on integrating intelligent automation and data-driven insights to transform business processes and drive strategic technological leadership.
Skills
Azure AI Foundry
Microsoft Copilot
Natural Language Processing
RAG
Vector Databases
Agent Governance
Azure Databricks
PySpark
Python
SQL
Azure Data Factory
Azure Data Lake Storage
AI Architecture
Data Engineering
Machine Learning
Intelligent Automation
Full job details
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.