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.

Principal Application Developer at AT&T responsible for designing, developing, and maintaining applications using Java, Springboot, Microservices, and modern cloud technologies, with a strong emphasis on agentic AI, AI-assisted development, and LLM-based application patterns. The role involves leading solution design, mentoring development teams, and providing hands-on development for complex components.

This role involves building agentic systems using LangChain and LangGraph for service assurance and networking automation within an enterprise setting. The focus is on applying AI tools to improve service quality and project execution.

This Principal Advanced Analytics role is for a hands-on analytics leader focused on market intelligence and performance management. The role involves defining the analytics engine for market intelligence and go-to-market strategy, designing measurement systems, and translating complex data into executive-level recommendations. A key responsibility is applying AI-enabled analytics, LLMs, and automation workflows to accelerate insight generation and improve decision support.

Lead Application Developer role focusing on designing, developing, and integrating AI/LLM-based applications, including agentic AI, prompt workflows, and tool integration, within an enterprise context. Requires strong software development skills in Java, Spring Boot, and cloud technologies, with experience in AI concepts and tools like GitHub Copilot and Claude.

Full-Stack Software Engineer with 10+ years of experience in Java, JavaScript, React, and Node.js, focusing on AI and customer experience. Requires experience with Generative AI, LLMs, and Copilots, and leveraging AI tools in production. The role involves both front-end (React, Next.js) and back-end (Node.js, Java) development, cloud platforms, and building scalable, secure applications.