AT&T currently has 19 active AI-related job listings. The majority of these roles, 58%, are focused on agents. The top hiring country is the United States with 14 listings. Frequent technology tags include llm_observability, agent_orchestration, and rag. Over the last 30 days, AT&T has posted 30 new AI roles, representing a 329% increase compared to the previous 30-day period.
Currently tracking 11 active AI roles, down 67% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $87k–$1128k (avg $245k).
AT&T currently has 13 active AI-related roles in our index. The most common open titles are: Lead Software Engineering (2), AI Research Scientist (Government), Assoc Director-Cybersecurity - AI Security Engineering, Director-Technology, Lead Applications Development. Most positions are in Engineering and Research.
AT&T's active AI hiring is concentrated in: agents (62%), application (15%), serving infrastructure (8%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
AT&T is hiring AI talent in: United States (11 roles), India (1 role).
Job postings at AT&T most frequently reference: agent orchestration, llm observability, model serving, rag, vector db.
In the past 30 days, AT&T has posted 22 new AI-related roles.
| 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 |