AT&T
Telecom · Telecom
- HQ
- Dallas, US
- Founded
- 2005
- Size
- 200,000+
- Website
- att.com
Currently tracking 12 active AI roles, up 221% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $87k–$1128k (avg $259k).
| Title | Stage | AI score |
|---|---|---|
| Lead Cybersecurity - AI Security Engineer Lead Cybersecurity - AI Security Engineer role at AT&T, focusing on designing, developing, and implementing security protocols to protect AI systems from malicious actors and cyber-attacks. The role involves analyzing threats, auditing for risks, researching emerging AI security technologies, and ensuring secure deployment of AI systems. It requires extensive experience in security engineering for AI/ML systems, auditing AI systems for risks, and developing AI content filtering and adversarial testing plans. | Ship | 7 |
| Machine Learning Specialist / Data Scientist Machine Learning Specialist / Data Scientist to design intelligent solutions for sales compensation accuracy in AT&T's U.S. domestic operations. The role involves building anomaly detection and data validation models, integrating them into Databricks pipelines, and automating solutions using multiple data sources within a financial context. |
| Ship |
| 7 |
| Assoc Director-Cybersecurity - AI Security Engineering Associate Director for Cybersecurity focusing on AI Security Engineering. This role involves leading a team to design, implement, and audit security protocols for AI systems, analyze threats, develop mitigation strategies, and ensure compliance with security standards. It requires extensive experience in cybersecurity, AI/ML security, and team leadership, with a focus on protecting AI systems from malicious actors and cyber-attacks within an enterprise context. | Ship | 5 |
| Principal Software QA Engineer (AI-automation) This Principal Software QA Engineer role focuses on scaling AI-enabled and intelligent automation within the Corporate Quality Engineering (CQE) organization to improve digital online sales and service experiences. The role involves defining automation-first quality strategies, implementing and enhancing test automation, and leveraging AI to accelerate scripting, analyze results, and automate reporting. The primary focus is on applying AI tools and techniques to enhance the quality engineering lifecycle for enterprise systems. | Ship | 5 |