AI Data Engineers

Infosys; Dadri; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Infosys is seeking an AI Data Engineer to design, build, and optimize scalable AI/ML data platforms and pipelines supporting Generative AI, LLMs, and analytics solutions. The role emphasizes Databricks (DBRX), multi-cloud environments (AWS, Azure, GCP), and modern data engineering frameworks.

The candidate will create ingestion frameworks, manage data lakes and warehouses, and implement governance, metadata, and CI/CD practices for robust, cost-efficient data ecosystems.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Technology, Artificial Intelligence, or related field.
• Experience building enterprise GenAI or AI Agent solutions.
• Exposure to DBRX foundation models and Databricks AI platform.

Responsibilities

• Design and develop scalable batch and real-time data pipelines using Databricks, Spark, and cloud-native services.
• Build and maintain enterprise-grade data lakes, lakehouses, and data warehouses.
• Create ingestion frameworks for structured, semi-structured, and unstructured data.
• Develop AI-ready data pipelines supporting LLM, RAG, Agentic AI, and predictive analytics use cases.
• Implement metadata management, data governance, lineage, and data quality controls.
• Prepare and transform data for LLM training, fine-tuning, and inference workloads.
• Build Retrieval-Augmented Generation (RAG) pipelines integrating vector databases and enterprise knowledge sources.
• Develop data workflows supporting DBRX and other foundation models.
• Optimize AI data pipelines for performance, scalability, and cost efficiency.
• Design solutions on AWS, Azure, or GCP environments.
• Leverage cloud-native data services for ingestion, storage, orchestration, and monitoring.
• Implement CI/CD and Infrastructure as Code (IaC) practices for data platforms.
• Ensure security, compliance, and governance across cloud data ecosystems.

Skills

Databricks

DBRX

PySpark

Spark

Snowflake

AWS

Azure

GCP

Delta Lake

Education

Bachelor's or Master's degree in CS/IT/AI/Data Engineering

Tools

Databricks AI Platform

Job description

Job Summary

We are seeking a highly skilled AI Data Engineer to design, build, and optimize scalable AI/ML data platforms and pipelines supporting Generative AI, Large Language Models (LLMs), and advanced analytics solutions. The ideal candidate will have hands-on experience with Databricks (DBRX ecosystem), cloud platforms (AWS, Azure, or GCP), modern data engineering frameworks, and Snowflake data warehousing solutions.

Responsibilities

• Design and develop scalable batch and real-time data pipelines using Databricks, Spark, and cloud-native services.
• Build and maintain enterprise-grade data lakes, lakehouses, and data warehouses.
• Create ingestion frameworks for structured, semi-structured, and unstructured data.
• Develop AI-ready data pipelines supporting LLM, RAG, Agentic AI, and predictive analytics use cases.
• Implement metadata management, data governance, lineage, and data quality controls.
• Prepare and transform data for LLM training, fine-tuning, and inference workloads.
• Build Retrieval-Augmented Generation (RAG) pipelines integrating vector databases and enterprise knowledge sources.
• Develop data workflows supporting DBRX and other foundation models.
• Optimize AI data pipelines for performance, scalability, and cost efficiency.
• Design solutions on AWS, Azure, or GCP environments.
• Leverage cloud-native data services for ingestion, storage, orchestration, and monitoring.
• Implement CI/CD and Infrastructure as Code (IaC) practices for data platforms.
• Ensure security, compliance, and governance across cloud data ecosystems.

Technical Requirements

• Experience building enterprise GenAI or AI Agent solutions.
• Exposure to DBRX foundation models and Databricks AI platform.
• Hands-on experience with vector search and semantic retrieval systems.
• Knowledge of DataOps, MLOps, and LLMOps best practices.
• Experience with multi-cloud data architectures.
• Understanding of Responsible AI and model governance frameworks.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Technology, Artificial Intelligence, or related field.

Key Skills

• Databricks
• DBRX
• PySpark
• Spark
• Snowflake
• AWS
• Azure
• GCP
• Delta Lake

Educational Requirement

Bachelor of Engineering,Bachelor Of Technology (Integrated)

Preferred Skills

Technology->AI-Data science->Machine Learning,Technology->AI-Generative AI->Artificial Intelligence - BASIC,Technology->AI-Generative AI->Generative AI for Data Analytics

Service Line

Data Analytics Unit