AT&T

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 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 - AI Security Engineer role at AT&T, focusing on designing, developing, and implementing security protocols to protect AI systems from malicious actors and cyber-attacks. The role involves analyzing threats, auditing for risks, researching emerging AI security technologies, and ensuring secure deployment of AI systems. It requires extensive experience in security engineering for AI/ML systems, auditing AI systems for risks, and developing AI content filtering and adversarial testing plans.

Lead Data/AI Engineer responsible for managing stakeholder relationships, translating business objectives into data manipulation requirements, and driving AI Technology platform strategy. This role involves optimizing AI/ML tooling, overseeing data science solutioning in areas like Computer Vision and OCR, ensuring accuracy of data science outputs, and integrating software development with data science artifacts. The position requires thought leadership, executive presentations, mentoring, and potentially contributing to patents and white papers. Technical skills include JVM, Spark, Python, PySpark, JavaScript, SQL, Databricks, AI-Knowledge Graph, AI-Computer Vision, and OCR.

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.