> Markdown version of [/jobs/ext/4427632-principal-data-ai-engineering](https://www.wearedevelopers.com/jobs/ext/4427632-principal-data-ai-engineering). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Principal Data/AI Engineering

- **Company:** AT&T Inc.
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Salary:** $155,400.0 - $233,200.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Continuous Integration, Information Engineering, Data Integrity, Python (Programming Language), Scala (Programming Language), Scientific Computating, Software Engineering, Statistical Process Control (SPC), SQL Databases, Transmission Control Protocol (TCP), Google Cloud, Snowflake, Apache Spark, Information Technology, Performance Monitor, Apache Kafka, Graphql, Api Design, Software Version Control, Databricks, Programming Languages, Microservices
- **Published:** October 6, 2026
- **Apply:** https://dejobs.org/x/x/248AC220CA7F4F0CA69A09677D9ECA83/job/

## About the Role

Education/Experience: Bachelor's degree (BS/BA) desired such as Computer Science or Scientific Computing. 7+ years of related experience. Certification is required in some areas.

## Description

* Design, Development, Testing, and Deployment: Lead the creation of scalable Data & AI applications using best practices in software engineering such as automation, version control, and CI/CD. Develop and implement rigorous testing strategies to ensure application reliability and performance. Oversee deployment processes, addressing issues related to configuration, environment, or security.

 * Engineering and Analytics: Translate Data & AI use case requirements into effective data models and pipelines, ensuring data integrity through statistical quality procedures and advanced AI techniques.

 * API & Microservice Development: Architect and build secure, scalable microservices and APIs, ensuring broad usability, security, and adherence to best practices in documentation and version control.

 * Platform Scalability & Optimization: Evaluate and select optimal technologies for cloud and on-premise deployments, implementing strategies for scalability, performance monitoring, and cost optimization.

 * Technologies: Demonstrate expertise with Data & AI technologies (e.g., Spark, Kafka, Databricks, Snowflake), programming languages (e.g., Java, Scala, Python, SQL), API development patterns (e.g., HTTP/REST, GraphQL), and cloud platforms (e.g., Azure, AWS, GCP).

Job Contribution: An expert in their field, applying broad business knowledge and strategic insight surrounding emerging trends and technologies to solve complex problems and drive organizational results. Leads critical, high-impact projects and designs/implements innovative business strategies. Works with minimal oversight, frequently consulting senior leadership and influencing executive decisions. Serves as a mentor and assists others with challenging issues. Supervisor: No

TCP Career Step Differentiator: Managing the most complex work related to data engineering and AI. Solving major business problems for the most complex areas of the company.