Data/AI Engineer – GenAI & Agentic AI Integration (Azure)

Job Description:

Location: Bangalore, India

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).
• 8+ 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:

40

Time Type:

Regular

Location:

Bangalore, 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.