Job Description:

- 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 up-to-date data engineering frameworks and Snowflake data warehousing solutions

Key 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

Preferred Skills:

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

Skills: snowflake , Docker, Spark, Kubernetes, Gcp, Pyspark, data engineering , Llm, Azure, Airflow, Aws, Databricks, Python

Experience: 0.00-0.00 Years

📌 AI Data Engineers (Noida)
🏢 Infosys
📍 Noida