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Urgent! Data/AI Engineer – GenAI & Agentic AI Integration (Azure) Job Opening In Bengaluru – Now Hiring AT&T

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



Job description

**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.
AT&T will consider for employment qualified applicants in a manner consistent with the requirements of federal, state and local laws
We expect employees to be honest, trustworthy, and operate with integrity.

Discrimination and all unlawful harassment (including sexual harassment) in employment is not tolerated.

We encourage success based on our individual merits and abilities without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, marital status, citizenship status, military status, protected veteran status or employment status


Required Skill Profession

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