About this opportunity
AT&T lists this Principal AI Engineer (SDLC) opportunity in dallas, Texas. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Principal AI Engineer (SDLC)
Generative AI & Enterprise Applications
About the Role
AT&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 Responsibilities
AI Product Development
Design, 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 & Integration
Design 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 Engineering
Deploy 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 & Delivery
Establish 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 & Collaboration
Evaluate 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 Build
Enterprise Generative AI chatbots and virtual assistants
AI-powered recruiting and talent acquisition solutions
Customer care AI assistants powered by GPT and LLM technologies
Retrieval-Augmented Generation (RAG) platforms
Multi-agent and agentic workflow automation systems
AI APIs and shared enterprise AI services
AI-enabled operational intelligence and analytics platforms
Example at AT&T
An AI Engineer may build a Network Operations Copilot that:
Leverages multiple Large Language Models (LLMs)
Integrates with trouble-ticket and operational systems
Provides intelligent outage recommendations
Surfaces network analytics and operational insights
Delivers a fully deployed, production-ready software solution
Required Qualifications
Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field
Experience developing enterprise applications using modern software engineering practices
Strong proficiency in Python and modern application development frameworks
Experience building RESTful APIs and microservices
Knowledge of Generative AI technologies, LLMs, and AI application architectures
Experience with cloud platforms such as Azure and/or AWS
Experience working within Agile and SDLC environments
Knowledge of CI/CD pipelines, DevOps practices, and software release management
Experience with containerization and orchestration technologies such as Kubernetes and Docker
Strong problem-solving, analytical, and collaboration skills
Preferred Qualifications
Experience building RAG (Retrieval-Augmented Generation) solutions
Experience developing agentic AI workflows and autonomous AI systems
Knowledge of MLOps platforms and machine learning deployment practices
Experience integrating AI solutions into enterprise business systemsFamiliarity with vector databases, prompt engineering, and AI evaluation frameworks
Experience developing scalable cloud-native AI applications
Exposure to enterprise security, governance, and responsible AI practices
Ideal Background
Candidates may currently hold titles such as:
AI Engineer
Generative AI Engineer
Machine Learning Engineer
AI Solutions Engineer
AI Application Engineer
AI Platform Engineer
Why 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.
Weekly Hours:
40
Time Type:
Regular
Location:
Atlanta, Georgia, Dallas, Texas
AT&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.
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Worksite address
dallas, TX, 75215, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.