Lead Data / AI Engineering

Job Description

This position requires frequent collaboration with developers, architects, data product owners, and source system teams. The ideal candidate is a versatile professional with deep expertise spanning data engineering, software architecture, data analysis, visualization, BI tools, relational databases, and data warehouse architecture across traditional and cloud environments. Experience with emerging AI technologies, including Generative AI, is highly valued.

Key Roles and Responsibilities

• Lead the end-to-end design, architecture, development, testing, and deployment of scalable Data & AI solutions across traditional data warehouses, data lakes, and cloud platforms such as Snowflake, Azure, AWS, Databricks, and Delta Lake.
• Architect and build secure, scalable software systems, microservices, and APIs leveraging best practices in software engineering, automation, version control, and CI / CD pipelines.
• Develop, optimize, and maintain complex SQL queries, Python scripts, Unix / Linux shell scripts, and AI / ML pipelines to transform, analyze, and operationalize data and AI models.
• Incorporate GenAI technologies by evaluating, deploying, fine-tuning, and integrating models to enhance data products and business insights.
• Translate business requirements into robust data products, including interactive dashboards and reports using Power BI, Tableau, or equivalent BI tools.
• Implement rigorous testing strategies to ensure reliability, performance, and security throughout the software development lifecycle.
• Lead and mentor engineering teams, fostering collaboration, knowledge sharing, and upskilling in evolving technologies including GenAI.
• Evaluate and select optimal technologies for platform scalability, performance monitoring, and cost optimization in both cloud and on-premise environments.
• Partner cross-functionally with development, operations, AI research, and business teams to ensure seamless delivery, support, and alignment to organizational goals.

Key Competencies

Required / Desired Skills

Education & Experience

#DataEngineering

Weekly Hours : 40

Time Type : Regular

Location :

Bangalore, Karnataka, 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.