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 69% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $87k–$1128k (avg $245k).
AT&T currently has 8 active AI-related roles in our index. The most common open titles are: Lead Data/AI Engineering (2), AI Research Scientist (Government), Assoc Director-Cybersecurity - AI Security Engineering, Director Cybersecurity - AI/ML/Automation (Cyber Threat Analytics), Lead Cybersecurity - AI Security Engineer. Most positions are in Engineering and Research.
AT&T's active AI hiring is concentrated in: application (38%), serving infrastructure (25%), agents (13%). 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 (5 roles), India (2 roles).
Job postings at AT&T most frequently reference: model serving, evals, guardrails, llm observability, agent orchestration.
In the past 30 days, AT&T has posted 13 new AI-related roles. That is a -57% change versus the prior 30 days (30 → 13).
| Title | Stage | AI score |
|---|---|---|
| Director Cybersecurity - AI/ML/Automation (Cyber Threat Analytics) Director of Cybersecurity focused on leading the technical management, creation, and delivery of Cyber Threat Analytical platforms and programs. This role involves setting AI/ML and automation strategy, owning the delivery of advanced threat analytics, deploying production-grade ML/DL pipelines, directing automation and orchestration programs, and operationalizing AI-enabled investigation capabilities. The position also requires managing model risk and operational risk governance for AI/ML-driven detections, partnering across the telemetry pipeline, and providing people leadership for a multi-disciplinary team. | AgentServe | 8 |
| AI Research Scientist (Government) AI Research Scientist role supporting DoD and federal defense customers by advancing AI algorithms, developing innovative models, and applying cutting-edge research to solve complex mission-critical challenges in a secure government environment. | Pretrain | 8 |
| Lead Data/AI Engineering Lead Data/AI Engineer responsible for designing, developing, and optimizing data pipelines and operationalizing AI/ML models using various technologies and cloud platforms. The role involves collaborating with stakeholders, ensuring data quality and security, and researching new AI/ML algorithms. | ServeData | 7 |
| Sr Specialist Cybersecurity - IAM Operations AIOps This role focuses on leveraging AIOps and AI/ML techniques within the ServiceNow platform to improve Identity & Access Management (IAM) operations. The specialist will configure, train, tune, and operationalize ServiceNow Predictive Intelligence models, define and manage model performance KPIs, and integrate AI outputs into workflows to automate actions and enhance self-service. The primary focus is on the operationalization and scaling of AI models for ITSM/IAM use cases, including monitoring, evaluation, and retraining. | Serve | 7 |
| 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 |