AT&T

Lead Project/Program Manager for AT&T's Customer Care Operations Support, driving AI strategy and AI-enabled solutions. This role defines the AI transformation strategy and multi-year roadmap, translating strategy into executable plans for intelligent PMO platforms, advanced analytics, and autonomous workflows. The role acts as a key connector and AI champion, partnering with Operations, Product, Data, and Technology to embed AI capabilities into core business processes at scale. Responsibilities include managing data dependencies, risks, stakeholders, and resource needs, ensuring cutting-edge AI initiatives (AI agents, machine learning models, intelligent automation) are well-governed and successfully delivered to drive transformation and optimize operational performance.

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.

Lead Technical Product Manager to shape and deliver innovative AI-powered customer sales virtual assistants, managing the full product lifecycle and integrating advanced AI frameworks for agentic experiences. Focuses on roadmap development, stakeholder management, and enhancing customer value and AI-driven sales revenue.