Job Title Data AI Engineer - GenAI Agentic AI Integration Azure Location Bangalore India Job Type Full-Time About the Role We are seeking a highly skilled Data AI Engineer to join our dynamic team specializing in integrating cutting-edge Generative AI GenAI and Agentic AI solutions within the Azure cloud workplace The ideal candidate will have a strong background in Python data engineering and AI model integration with hands-on experience working on Databricks Snowflake Azure Storage and Palantir platforms You will play a crucial role in designing developing and deploying scalable data and AI pipelines that power next-generation intelligent applications Key Responsibilities Design develop and maintain robust data pipelines and AI integration solutions using Python on Azure Databricks Integrate Generative AI and Agentic AI models into existing and new workflows to drive business innovation and automation Collaborate with data scientists AI researchers software engineers and product teams to deliver scalable and efficient AI-powered solutions Orchestrate data movement and transformation across Azure-native services including Azure Databricks Azure Storage Blob Data Lake and Snowflake ensuring data quality security and compliance Integrate enterprise data using Palantir Foundry and leverage Azure services for end-to-end solutions Develop and implement APIs and services to facilitate seamless AI model deployment and integration Optimize data workflows for performance and scalability within Azure Monitor troubleshoot and resolve issues related to data and AI pipeline performance Document architecture designs and processes for knowledge sharing and operational excellence Stay current with advances in GenAI Agentic AI Azure data engineering best practices and cloud technologies Required Qualifications Bachelor s or Master s degree in Computer Science Engineering Data Science or a related field or equivalent practical experience 5 years of professional experience in data engineering or AI engineering roles Strong proficiency in Python for data processing automation and AI model integration Hands-on experience with Azure Databricks and Spark for large-scale data engineering Proficiency in working with Snowflake for cloud data warehousing In-depth experience with Azure Storage solutions Blob Data Lake for data ingestion and management Familiarity with Palantir Foundry or similar enterprise data integration platforms Demonstrated experience integrating and deploying GenAI or Agentic AI models in production environments Knowledge of API development and integration for AI and data services Strong problem-solving skills and ability to work in a fast-paced collaborative environment Excellent communication and documentation skills Preferred Qualifications Experience with Azure Machine Learning Azure Synapse Analytics and other Azure AI data services Experience with MLOps model monitoring and automated deployment pipelines in Azure Exposure to data governance privacy and security best practices Experience with visualization tools and dashboard development Knowledge of advanced AI model architectures including LLMs and agent-based systems DataEngineer Weekly Hours 40Time Type RegularLocation Bangalore Karnataka India It is the policy of AT T to provide equal employment opportunity EEO to all persons regardless of age color national origin citizenship status physical or mental disability race religion creed gender sex sexual orientation gender identity and or expression genetic information marital status status with regard to public assistance veteran status or any other characteristic protected by federal state or local law In addition AT T will provide reasonable accommodations for qualified individuals with disabilities AT T is a fair chance employer and does not initiate a background check until an offer is made
📌 Sr Specialist Data/ai Engineering (Karnataka)
🏢 At&T
📍 Karnataka
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