AT&T

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.

Develops high-performance distributed computing systems for GenAI using Big Data technologies, Spark, Databricks, and Azure Cloud. Designs and delivers GenAI technologies at scale with real-time results using OpenAI and LLMs for chat experiences. Builds RAG models, truth set generators, and integrates LangChain loaders and Vector DB for optimized data retrieval and configuration. Develops Python Fast API rest services and WebSocket ends for GenAI integration and voice streaming.

Seeking an Application Security Architect to secure AI/ML-enabled applications, including LLMs, agent-based systems, RAG pipelines, and model-serving APIs. The role focuses on identifying, assessing, and remediating security weaknesses across the full AI lifecycle, from data ingestion to inference-time protections and production governance. Requires a blend of application security expertise and practical experience securing AI/ML systems, with an emphasis on vulnerability management and risk reduction.

Early-career AI Automation Engineer focused on Generative AI, Agentic AI, automation, and reliability engineering. The role involves building AI-driven platforms for system monitoring, incident analysis, and remediation, including AI agents and autonomous workflows. Requires strong Python coding skills and experience with AI/GenAI projects, LLMs, prompt engineering, embeddings, and agents.

Principal Software Engineer to drive innovative solutions in customer service virtual assistants, leveraging Agentic AI framework like ADK for intent-less, AI agent-driven conversations. Responsibilities include full-stack development, architectural design, integration, and testing of AI-driven applications, with a focus on generating AI-driven sales revenue and advancing customer support solutions.

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 role focuses on managing the quality and continuous improvement of AI-powered agents that autonomously process tickets within workflow systems. Responsibilities include monitoring agent performance, reviewing and correcting fallout tickets, improving training data and knowledge bases, and ensuring compliance with business needs and regulatory standards. The role involves analyzing fallout patterns, developing training protocols, and reporting on key performance metrics.

Machine Learning Specialist / Data Scientist to design intelligent solutions for sales compensation accuracy in AT&T's U.S. domestic operations. The role involves building anomaly detection and data validation models, integrating them into Databricks pipelines, and automating solutions using multiple data sources within a financial context.

Director of Engineering to lead the strategy, architecture, build, and scaling of an AI/ML-driven Decision Intelligence platform for enterprise decisioning (Next Best Action/Offer), journey management, and real-time personalization. The role involves building a robust data and model foundation, a reusable decisioning layer, and low-latency activation services. Requires strong leadership in managing engineering, data, and ML teams, with a focus on cloud-scale distributed systems, real-time decisioning, and MLOps.

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.