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 modern 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
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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 AnalyticsSkills
Advanced AnalyticsArtificial IntelligenceData AnalyticsPythonData GovernanceData ScienceData WarehousingMachine LearningPredictive AnalyticsSnowflakeData EngineerLarge Language ModelsAnalyticsAi MlAiMlLlmLlmsGenerative AiGenaiRagRetrieval Augmented GenerationFine TuningFoundation ModelsLangchainAi AgentAgenticAgentic AiVector DatabaseVector SearchPineconeMlopsLlmopsMlflowDatabricksAirflowIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
About Company
Infosys Limited is an Indian multinational information technology company that provides business consulting, information technology and outsourcing services. The company was founded in Pune and is headquartered in Bangalore.
Infosys is a global leader in next-generation digital services and consulting. We enable clients in 45 countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through the many nexts of their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change.
We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise and ideas from our innovation ecosystem.
Important dates & deadlines?
Application Deadline
07 Dec 26, 03:47 PM IST
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