AT&T

Lead System Engineer focused on AI Automation and Site Reliability Engineering (SRE) for mission-critical enterprise platforms (CRM, Supply Chain, ERP). The role involves designing and implementing AI-driven solutions using Generative AI, LLMs, and Agentic AI for incident triage, root cause analysis, remediation, prevention, and autonomous operations. It also includes AIOps techniques, LLM-enabled runbooks, and building AI-augmented observability solutions to improve system resilience and operational efficiency.

This role focuses on designing, developing, and implementing security protocols and strategies to protect AI systems from malicious actors and cyber-attacks. It involves analyzing AI security threats, evaluating emerging AI security technologies, auditing AI systems for risks, and ensuring secure deployment. The role also includes executing adversarial tests for AI systems and understanding AI-driven risks.

This Principal Cybersecurity Engineer role focuses on protecting core telecom infrastructure using AI and machine learning for threat detection, automation, and remediation. The role involves architecting security controls, integrating AI/ML techniques, developing automation scripts, and conducting security analysis and testing in a multi-vendor telecom network environment.

Lead Cybersecurity Engineer role focused on automating security testing and integrating AI/ML tools for network security. Responsibilities include designing automated test cases, developing Python scripts, integrating AI for anomaly detection and remediation, and researching emerging AI technologies. The role emphasizes leadership, collaboration, and ensuring security controls are at the forefront.

This Principal System Engineer role focuses on architecting, designing, and delivering AI-driven, data-intensive, and cloud-native platforms for AT&T's Consumer Technology eXperience (CTX) digital and compliance ecosystems. The role requires hands-on experience in AI, Generative AI, Agentic AI, ML, DL, and Data Engineering, combined with enterprise system design and modernization. Key responsibilities include building production-grade AI/GenAI/Agentic AI solutions, developing Agentic AI applications, implementing LLM-based workflows (prompt orchestration, RAG, autonomous agents), and operationalizing AI solutions with security and observability. The role also involves data engineering, system architecture, full-stack development (PHP/Laravel, Node.js, Vue.js), and integrating accessibility, security, and compliance controls.