Principal AI Engineer (SDLC)

Principal AI Engineer (SDLC)Generative AI & Enterprise ApplicationsAbout the RoleAT&T is seeking an innovative and results-driven AI Engineer to design, build, and deploy next-generation AI-powered products and platforms across the enterprise. In this role, you will take cutting-edge AI capabilities, including Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), and agentic workflows, and transform them into scalable, production-ready business applications.Unlike traditional AI research roles that focus on inventing models, this position focuses on making AI usable at scale by integrating AI technologies into enterprise software solutions through the full Software Development Life Cycle (SDLC). You will collaborate with software engineers, architects, product teams, and business stakeholders to deliver secure, reliable, and highly scalable AI solutions that drive business value.This role is ideal for engineers who are passionate about application development, cloud technologies, APIs, automation, and delivering AI-driven experiences that solve real-world business challenges.Key ResponsibilitiesAI Product DevelopmentDesign, develop, and deploy AI-powered applications and platforms that support enterprise business objectives.Build Generative AI solutions using Large Language Models (LLMs), RAG architectures, and agent-based workflows.Develop intelligent assistants, copilots, chatbots, and AI automation solutions that enhance employee and customer experiences.Transform AI concepts, proofs of concept, and prototypes into production-ready software products.Software Engineering & IntegrationDesign and build scalable APIs, microservices, and backend services that power AI-enabled applications.Integrate AI capabilities into existing enterprise platforms, business systems, and customer-facing applications.Develop secure, reliable, and reusable application components within modern software architectures.Partner with cross-functional teams to translate business requirements into technical solutions.Cloud & Platform EngineeringDeploy and manage AI workloads across cloud environments including Azure and AWS.Implement containerized and cloud-native solutions using Kubernetes and modern orchestration technologies.Build and maintain enterprise-grade AI platforms capable of supporting high-volume production workloads.Optimize performance, reliability, security, and scalability of AI services.AI Operations & DeliveryEstablish and maintain CI/CD pipelines for AI-enabled applications and services.Implement MLOps best practices for deployment, monitoring, testing, and lifecycle management of AI solutions.Support model integration, version management, governance, and operational excellence.Monitor production environments and continuously improve platform performance and user experience.Innovation & CollaborationEvaluate emerging AI technologies and identify opportunities for enterprise adoption.Collaborate with product managers, software engineers, data scientists, UX teams, and business stakeholders.Contribute to technical architecture decisions and AI engineering best practices.Drive continuous improvement across AI development methodologies and delivery frameworks.Example Projects You May BuildEnterprise Generative AI chatbots and virtual assistantsAI-powered recruiting and talent acquisition solutionsCustomer care AI assistants powered by GPT and LLM technologiesRetrieval-Augmented Generation (RAG) platformsMulti-agent and agentic workflow automation systemsAI APIs and shared enterprise AI servicesAI-enabled operational intelligence and analytics platformsExample at AT&TAn AI Engineer may build a Network Operations Copilot that:Leverages multiple Large Language Models (LLMs)Integrates with trouble-ticket and operational systemsProvides intelligent outage recommendationsSurfaces network analytics and operational insightsDelivers a fully deployed, production-ready software solutionRequired QualificationsBachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical fieldExperience developing enterprise applications using modern software engineering practicesStrong proficiency in Python and modern application development frameworksExperience building RESTful APIs and microservicesKnowledge of Generative AI technologies, LLMs, and AI application architecturesExperience with cloud platforms such as Azure and/or AWSExperience working within Agile and SDLC environmentsKnowledge of CI/CD pipelines, DevOps practices, and software release managementExperience with containerization and orchestration technologies such as Kubernetes and DockerStrong problem-solving, analytical, and collaboration skillsPreferred QualificationsExperience building RAG (Retrieval-Augmented Generation) solutionsExperience developing agentic AI workflows and autonomous AI systemsKnowledge of MLOps platforms and machine learning deployment practicesExperience integrating AI solutions into enterprise business systemsFamiliarity with vector databases, prompt engineering, and AI evaluation frameworksExperience developing scalable cloud-native AI applicationsExposure to enterprise security, governance, and responsible AI practicesIdeal BackgroundCandidates may currently hold titles such as:AI EngineerGenerative AI EngineerMachine Learning EngineerAI Solutions EngineerAI Application EngineerAI Platform EngineerWhy Join AT&T?Join a team that is transforming how AI is applied across one of the world's largest technology and communications companies. You'll have the opportunity to build impactful AI products, influence enterprise innovation, and help shape the future of intelligent software delivery at scale.Apply today and help bring AI from concept to production.Weekly Hours:40Time Type:RegularLocation:Alpharetta, Georgia, Atlanta, Georgia, Dallas, TexasAT&T and its subsidiaries are committed to equal employment opportunity. All hiring, promotion, and other employment decisions remain merit-based and free from discrimination on the basis of race, color, religion, religious creed, national origin, ancestry, age, sex, sexual orientation, gender, gender identity, gender expression, physical disability, mental disability, pregnancy, medical condition, genetic information, marital status, citizenship status, military status, veteran status, or any other characteristic protected by federal, state, or local laws. In addition, AT&T will provide reasonable accommodations to qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. Click here to learn more or request an application accommodation here.