Data/AI Engineer GenAI
4 days ago
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.
- Bachelors or Masters 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.
- 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.
Job ID: R-75732
Date posted: 10/03/2025
Locations: Bengaluru, India
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