Job Description:

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 environment. 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.

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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.