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 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.
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 |
|---|---|---|
| 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 |
| Senior Specialist Cybersecurity – Azure Systems Administration This role is for a Senior Specialist in Cybersecurity focusing on Azure Systems Administration. The primary responsibilities include administering and maintaining Azure resources, supporting disaster recovery and business continuity, and managing Identity and Access Management (IAM). While the role supports upcoming AI initiatives and may leverage Azure AI Services, its core function is not AI/ML development but rather the underlying infrastructure and security for those initiatives. | — |
| 0 |
| Manager-Technology (Servicenow development) Manager-Technology role focused on ServiceNow development, roadmap, and execution. Leads design, implementation, and support of ServiceNow solutions, driving DevOps and automation practices. Manages a team of developers and administrators, partnering with stakeholders to align delivery with strategic objectives. Requires strong leadership, stakeholder engagement, and technical skills in ServiceNow, Java, JavaScript, and DevOps tools. | — | 0 |
| Specialist Applications Development - Java Fullstack Fullstack Java Developer with 5+ years of experience in building and maintaining applications using Spring Boot, Cloud-native development, and microservices. Requires proficiency in Java, Groovy, Spring Boot, Kafka, and databases like PostgreSQL, Oracle, or Couchbase. Experience with CI/CD pipelines (Jenkins), containerization (Docker), orchestration (Kubernetes), and cloud platforms (Azure AKS) is essential. Knowledge of BPM tools (Camunda) and monitoring tools (Dynatrace) is a plus. The role involves development, unit testing, deployment, and handling production issues within a collaborative, Agile environment. | — | 0 |