Lead Data/AI Engineering

This is a full-time onsite role based in the location(s) posted and is performed from the designated work location five days per week. No relocation is offered.

Typical tasks may include, but are not limited to, the following:

• →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).
• →As part of the Revenue Operations Reinvention Lab, this role will design, build and deploy targeted data and agentic AI solutions that improve Revenue Operations productivity.  The engineer will focus on Smaller, high-value use cases that fall outside quarterly enterprise technology roadmaps, while ensuring solutions are secure, maintainable, measurable, and aligned with broader technology architecture.
• →Identify and prioritize high-value opportunities: Partner with Rev Ops stakeholders to discover workflow bottlenecks, repetitive tasks, and decision-support needs that can be addressed through focused data, automation, or agentic AI solutions.
• →Own the end-to-end delivery of targeted Rev Ops data and agentic AI solutions - from use-case discovery and rapid prototyping through controlled deployment, measurement, documentation, and operational handoff - while aligning with enterprise platforms, architecture, and governance requirements.
  

AT&T and its subsidiaries are committed to equal employment opportunity. All hiring, promotion, and other employment decisions remain merit-based and free from discrimination on the basis of race, color, religion, religious creed, national origin, ancestry, age, sex, sexual orientation, gender, gender identity, gender expression, physical disability, mental disability, pregnancy, medical condition, genetic information, marital status, citizenship status, military status, veteran status, or any other characteristic protected by federal, state, or local laws. In addition, AT&T will provide reasonable accommodations to qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. Click here to learn more or request an application accommodation here.