Infosys

AI Data Engineers

Noida, India

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hirly's read of this role

Seniority: Mid level
Country: IN
Work mode: On-site / unstated
First seen by hirly: 7 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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

Data Engineering & AI Platform Development

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.

AI & Generative AI Enablement

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.

Cloud & Data Platform Engineering

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.

Additional responsibilities

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

Key Skillset - Databricks, DBRX, PySpark, Spark, Python, Snowflake, AWS, Azure, GCP, Delta Lake, Unity Catalog, MLflow, RAG, LangChain, Vector Database, Pinecone, Feature Store, Airflow, CI/CD, Docker, Kubernetes, Data Lakehouse, GenAI, LLM, Data Engineering.

Education

Bachelor of Engineering,Bachelor Of Technology (Integrated)

Original posting on Infosys's site ↗

Listed on hirly, a job board. hirly is not the employer: Infosys is hiring for this role.

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