AT&T currently has 19 active AI-related job listings. The majority of these roles, 58%, are focused on agents. The top hiring country is the United States with 14 listings. Frequent technology tags include llm_observability, agent_orchestration, and rag. Over the last 30 days, AT&T has posted 30 new AI roles, representing a 329% increase compared to the previous 30-day period.
Currently tracking 11 active AI roles, down 67% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $87k–$1128k (avg $245k).
AT&T currently has 13 active AI-related roles in our index. The most common open titles are: Lead Software Engineering (2), AI Research Scientist (Government), Assoc Director-Cybersecurity - AI Security Engineering, Director-Technology, Lead Applications Development. Most positions are in Engineering and Research.
AT&T's active AI hiring is concentrated in: agents (62%), application (15%), serving infrastructure (8%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
AT&T is hiring AI talent in: United States (11 roles), India (1 role).
Job postings at AT&T most frequently reference: agent orchestration, llm observability, model serving, rag, vector db.
In the past 30 days, AT&T has posted 22 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| AI Research Scientist (Government) 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. | Pretrain | 8 |
| Senior Data/AI Engineering 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. | Agent |
| 8 |
| Lead Cybersecurity - Application Security Architect – AI Models, Frameworks & Implementation 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. | Agent | 8 |
| AI Automation Engineer-SRE Focus (Early Career) 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. | Agent | 8 |
| Principal AI - Software Engineer 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. | Agent | 8 |
| Director-Technology Director-Technology role at AT&T focused on leading teams to develop and deliver AI-driven software solutions, including agents and agentic workflows, for wireless and wireline networks. Requires experience in enterprise software platforms, modern software engineering, and AI/ML. | Agent | 7 |
| Principal AI-Native Software Engineer Principal AI-Native Software Engineer at AT&T, blending fullstack Python engineering with hands-on experience building intelligent systems powered by LLMs, agent orchestration, and AI-augmented development workflows. The role involves partnering with business stakeholders, designing and orchestrating intelligent workflows using LLMs and multi-agent systems, developing prompts and retrieval pipelines, and using AI coding assistants. It requires strong Python development, API integration, LLM expertise, and experience with agent orchestration frameworks. | Agent | 7 |
| Principal Data/AI Engineering This Principal Data/AI Engineering role focuses on leading the development and deployment of AI/GenAI models and solutions, requiring expertise in AI research, integration, and infrastructure. The role involves collaborating with teams, mentoring junior members, and establishing technical infrastructure for data, platforms, and production systems. | Serve | 7 |
| Lead Big Data Software Engineering Lead Big Data Software Engineer responsible for developing high-performance, distributed computing tasks using Big Data technologies. The role involves writing code, debugging, and documenting software enhancements, and interacting with data scientists. A key aspect is utilizing AI/ML tooling and techniques for data science solutions, including predictive analytics, neural networks, deep learning, computer vision, and OCR. | Data | 7 |
| Lead Software Engineer Lead Software Engineer responsible for the end-to-end delivery of applications and services, with a focus on applying Machine Learning and GenAI within the application workflow. This includes model development, deployment, integration, and utilizing LLM technologies like RAG for enterprise-scale solutions. The role involves full-stack development, automation, CI/CD, and working with large datasets on the Azure platform. | Agent | 7 |
| Lead Data Scientist Lead Data Scientist role focused on developing, deploying, and optimizing machine learning survival models to predict customer tenure for AT&T Fiber and AT&T Internet Air customers. This involves end-to-end data science workflows, from data extraction and feature engineering to model tuning, interpretation, and deployment, with a focus on informing strategic business decisions and estimating customer lifetime value. | Post-train | 7 |
| Principal Solution Architect This role focuses on designing and implementing agentic AI systems for automating complex solutioning workflows within AT&T's Business Technology & Product Development platform. It involves architecting integration solutions, building a 'context hub' for AI agents, and driving adoption of AI-augmented engineering practices like RAG and multi-agent orchestration on Azure and AWS. | Agent | 7 |
| Lead Project/Program Manager 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. | Agent | 7 |
| Principal Cybersecurity - Telecom Network Security Architect 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. | Agent | 7 |
| Lead Data/AI Engineering 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. | Data | 7 |
| Lead Cybersecurity - Telecom Network Security Automation 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. | Agent | 7 |
| Sr Specialist Quality/M&P/Process - AI Training Manager 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. | AgentData | 7 |
| Director of Engineering – Decision Intelligence Platform 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. | AgentServe | 7 |
| Principal System Engineer - Laravel/PHP Developer (AI Development) 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. | Agent | 7 |
| Lead Technical Product Manager – Applied AI 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. | Agent | 7 |
| Lead Software Engineering Lead Software Engineer role focused on architecting and implementing agentic solutions, including multi-agent and multi-modal systems. The role involves translating business requirements into technical solutions, designing software architecture, and assessing frameworks for agentic applications. It also includes implementing real-time stream processing and coordinating end-to-end system integration. The position requires expertise in modern technologies, system design, and software engineering practices, with a focus on resolving complex technical challenges and driving innovation. | Agent | 6 |
| Senior Cybersecurity Engineer – Endpoint Security (AI Enabled Operations) Senior Cybersecurity Engineer focused on modernizing enterprise endpoint security using AI-enabled operations, including monitoring, analytics, triage, automation, and reporting. The role involves engineering and supporting various endpoint security platforms (EDR, DLP, VPN, etc.) and extending AI-driven workflows for exception handling, risk scoring, and policy orchestration. | Agent | 5 |
| AppSec Vulnerability Risk Lead This role focuses on identifying, assessing, and mitigating AI security threats within the context of application security and infrastructure vulnerability management. It involves evaluating AI-specific risks and recommending controls to strengthen the organization's security posture. | — | 5 |
| Senior Specialist Member of Technical Staff This role involves driving R&D, integrating emerging technologies, and developing innovative systems. It requires experience in Python, Java, C/C++, cloud platforms, network protocols, big data tools, and applying Data Science principles including AI learning models and clustering. The role focuses on detailed system design, implementation from concept to production, and writing prototype code for data analysis. | Data | 5 |
| Senior Technical Product Mgr Senior Technical Product Manager for AT&T's consumer distribution channels, focusing on digital customer and employee experience. The role involves leading the software product development lifecycle, defining roadmaps, and translating them into actionable tasks for scrum teams. It requires a deep technical understanding of various technologies including REST services, APIs, microservices, cloud platforms (Azure), and importantly, Gen AI, within the telecom industry context. The position emphasizes strategic product planning, cross-functional collaboration, and driving technical development to meet product performance and profitability objectives. | — | 5 |
| Lead Qual/M&P Process This role leads AI-driven transformation initiatives in service delivery operations, focusing on designing and implementing automation and intelligent workflows to improve efficiency and customer experience. The position requires applying AI/ML in operational environments, partnering with cross-functional teams to deploy AI capabilities at scale, and translating business challenges into technology-enabled solutions. | Ship | 5 |
| Principal ServiceNow Solution Architect This Principal ServiceNow Solution Architect role focuses on designing, adopting, and scaling ServiceNow solutions for enterprise and supply chain teams. The role involves leveraging AI tools to drive efficiency and automation within the Software Development Life Cycle (SDLC) and identifying AI agent and generative AI use cases within ServiceNow to improve productivity and decision-making. The architect will also partner with data and engineering teams to operationalize emerging technologies and ensure solutions meet performance, security, and compliance standards. | — | 5 |
| Senior Quality Assurance This role focuses on developing and maintaining automation frameworks for QA, including API testing, CI/CD integration, and ETL processes. It involves integrating AI for test case generation and optimization, working with cloud platforms, containerization, and message queues like Kafka. The goal is to ensure code quality, improve test coverage, and automate system interfaces and performance monitoring. | Data | 5 |
| Lead Software Engineering Lead Software Engineer role focused on developing and implementing AI technologies, including LLMs, RAG, and AI-powered chatbots, using frameworks like LangChain and LangGraph. The role involves collaborating on requirements, designing software, executing development methodologies, and performing various testing types, with a strong emphasis on Python, AI, and NoSQL databases. | Agent | 5 |
| Lead Project/Program Manager Lead Project/Program Manager to drive program transformation across Customer Care Operations Support, focusing on data analytics, business intelligence, and execution. This role partners across Operations, Product, Data, and Technology to deliver business insights and solutions at scale, identifying opportunities for advanced analytics and automation. Requires strong program leadership, data analysis skills, stakeholder management, and experience with AI-enabled or automation-focused initiatives. | — | 5 |
| Lead UX Researcher Lead UX Researcher role focused on understanding customer needs and driving product/experience decisions through research. The role involves both upstream discovery and downstream validation, with a focus on end-to-end customer experience analysis and insight activation. While the role uses AI tools, it does not involve building AI models. | — | 5 |
| Principal Applications Developer 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. | Agent | 5 |
| Director AI Cybersecurity Delivery This role is for a Director AI Cybersecurity Delivery who will drive the end-to-end execution, integration, communication, and operational cadence of the CSO AI Program. The candidate will translate complex, AI-driven security initiatives into measurable operational outcomes and ensure alignment between strategy, delivery commitments, resourcing, and outcomes. This role requires strategic thinking, technical depth, executive-level communication skills, and proven experience managing delivery across multiple, concurrent AI-driven cybersecurity initiatives. | — | 5 |
| Lead Data/AI Engineering Lead Data/AI Engineering role focused on managing stakeholder relationships, translating business objectives into data manipulation requirements, and driving AI Technology platform strategy. The role involves providing thought leadership on AI/ML tooling for Data Science solutions including AI-Computer Vision, DVA, OCR, and AI-Knowledge Graph. Responsibilities include acquiring buy-in, ensuring integration of data science artifacts with software development, reviewing data science outputs for accuracy, presenting strategic visions, and mentoring colleagues. Experience with JVM-based languages, HDFS-based computing frameworks (Spark), Python, JavaScript, PySpark, AI-Knowledge Graph, AI-Computer Vision, Image Processing, OCR, and Big Data technologies (Databricks, Python, PySpark, SQL) is required. | Data | 5 |
| Lead Product Management & Develop This role focuses on simplifying the customer experience for complex business solutions by applying systems thinking and end-to-end process reinvention with an AI- and agentic-first mindset. The Lead Product Management & Develop will define reference models for customer job completion, enabling reusable systems and processes, and identify opportunities to leverage AI, automation, and agentic capabilities to improve customer and employee experiences. | Agent | 5 |
| Expert Cybersecurity - Cyber Threat & Response This role focuses on cybersecurity threat hunting, intelligence, incident response, and response engineering within AT&T's network and enterprise security. It involves proactive monitoring, vulnerability analysis, risk assessment, and developing security strategies. While AI/ML familiarity is mentioned, the core function is cybersecurity operations, not AI model development. | — | 5 |
| Expert System Engineering - Charging & Usage Platforms This role focuses on designing and evolving large-scale charging, usage rating, and network data processing platforms. While the primary focus is on these core systems, the role also involves applying AI and advanced automation to improve efficiency, accuracy, and throughput, with an enterprise platform mindset. | — | 5 |
| Principal Software QA Engineer (AI-automation) This Principal Software QA Engineer role focuses on scaling AI-enabled and intelligent automation within the Corporate Quality Engineering (CQE) organization to improve digital online sales and service experiences. The role involves defining automation-first quality strategies, implementing and enhancing test automation, and leveraging AI to accelerate scripting, analyze results, and automate reporting. The primary focus is on applying AI tools and techniques to enhance the quality engineering lifecycle for enterprise systems. | Ship | 5 |
| Principal Advanced Analytics 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. | Agent | 5 |
| Lead Applications Development 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. | Agent | 5 |
| Director-Reporting & Visualization This role leads a team responsible for enterprise reporting, visualization, and analytics products, aiming to transform complex data into actionable insights. It focuses on evolving static dashboards into intuitive, insight-driven products powered by modern visualization and AI, and enabling self-service reporting experiences. | — | 5 |
| Lead Advanced Analytics Lead Advanced Analytics role focused on supporting Mass Markets distribution through channel modeling, optimization, and planning. The role involves analyzing retail and non-retail portfolio assets, developing forecasts, and presenting insights to leaders. Requires strong data analysis, statistical methods, business case development, and predictive modeling skills using tools like Tableau, PowerBI, Databricks, and SQL. Experience with AI techniques, Snowflake, Python, and forecasting models is necessary. The role emphasizes strategic thinking, communication, and leadership in a fast-paced environment. | Post-train | 5 |
| Lead System Engineer - Converged Charging Systems (SRE-CCS) This role is for a Lead System Engineer focused on Converged Charging Systems (CCS) and One Mediation apps, requiring current Amdocs experience. It also requires new, evolving Generative AI and Workflow Automation skillsets to drive operational efficiency and scalability, along with a practical understanding of AI/ML concepts for integration into enterprise platforms. The primary focus is on traditional SRE operations with an exploratory element of AI integration. | — | 5 |
| Principal System Engineer - Converged Charging Systems (SRE-CCS) This role is for a Principal System Engineer focused on Converged Charging Systems (CCS) and One Mediation apps, requiring a hybrid of traditional SRE operations and new Generative AI and Workflow Automation skillsets to drive efficiency and scalability. The role involves translating business requirements into robust solutions, providing technical expertise in Java, Python, JavaScript, and Perl, and understanding AI/ML concepts for enterprise integration. Key responsibilities include ensuring system reliability, minimizing downtime, conducting after-action reviews, and proposing architectural changes. | Agent | 5 |
| Principal System Engineer - Converged Charging Systems (SRE-CCS) This Principal System Engineer role focuses on Converged Charging Systems (CCS) and One Mediation apps, requiring Amdocs experience. It also demands new Generative AI and Workflow Automation skillsets to drive operational efficiency. The role involves designing and maintaining CI/CD pipelines, coordinating releases, troubleshooting, and documenting processes. While it requires practical experience applying AI tools to enhance DevOps and release management, it explicitly excludes machine learning development. | Serve | 5 |
| Full-Stack Software Engineer 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. | Agent | 5 |
| Director of Technology Software Development Director of Technology Software Development leading a team to deliver innovative software for core company priorities like fiber expansion and infrastructure modernization. The role focuses on transforming SDLC processes, championing AI integration for productivity, and fostering a quality-first development culture within Agile environments. Requires significant experience in embedded software development and engineering leadership, with a proven track record in AI and automation adoption for productivity gains and large-scale deployments. | — | 5 |
| Lead Attorney LegalEdge This role involves leveraging Generative AI tools to accelerate and innovate legal analysis and drafting within AT&T's Legal Department. The attorney will execute legal workflows, manage cases, and ensure quality control of AI-assisted outputs. While the role uses AI tools, it does not involve building or shipping AI models. | — | 5 |
| Lead Cybersecurity - Legal eDiscovery & Information Governance This role focuses on enterprise-level eDiscovery strategy, program oversight, and process architecture within Legal, Security, IT, and Compliance. It involves leading strategic planning, program management, and process design for managing electronically stored information (ESI) throughout its lifecycle. A key aspect is identifying and delivering automation opportunities and defining/implementing AI-assisted capabilities to improve the speed and quality of discovery operations, including establishing governance for AI use in Legal workflows. | — | 2 |
| Principal Big Data Software This role focuses on building and maintaining batch and real-time data pipelines for network and NLP use cases, supporting data scientists and developers. It involves working with Big Data technologies (Hadoop, NoSQL, text mining) in Azure and on-prem environments, managing infrastructure (Hadoop, NiFi, Databricks), and automating processes using CICD/Ansible. The role also supports AI teams and builds Data and AI applications in Azure Cloud. | — | 1 |