Data/AI Engineer – GenAI

2 days ago

Bengaluru, Karnataka, India AT&T Full time ₹ 8,00,000 - ₹ 24,00,000 per year

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.

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