Senior Enterprise AI Platform Engineer (GenAI/SDLC)

att; Dallas (TX); On-site; USD 170,000 - 210,000; Full time

Job summary

AT&T is seeking an innovative Principal AI Engineer to design, build, and deploy AI-powered enterprise applications across the SDLC. You will work with LLMs, RAG, and agentic workflows to deliver scalable solutions that meet business needs.

You will collaborate with engineers, architects, product teams, and stakeholders to integrate AI technologies into enterprise software while ensuring security, reliability, and high performance in production environments.

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.

Responsibilities

• Design, develop, and deploy AI-powered enterprise applications and platforms.
• Build Generative AI solutions using LLMs, RAG architectures, and agent-based workflows.
• Develop intelligent assistants, copilots, chatbots, and AI automation solutions for employees and customers.
• Transform AI concepts, proofs of concept, and prototypes into production-ready software products.
• Design and build scalable APIs, microservices, and backend services for AI-enabled apps.
• Integrate AI capabilities into existing enterprise platforms and customer-facing applications.
• Develop secure, reliable, and reusable components within modern architectures.
• Partner with cross-functional teams to translate business requirements into technical solutions.
• Deploy and manage AI workloads across Azure and AWS; containerize with Kubernetes and Docker.

Skills

Python

LLMs

Generative AI

Cloud platforms

Agile

CI/CD

DevOps

Kubernetes

Docker

RESTful APIs

Microservices

SDLC

Release management

Problem solving

Collaboration

RAG

Agentic AI

MLOps

Education

Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related field

Tools

Docker

Kubernetes

Job description

AT&T is seeking an innovative Principal AI Engineer to design, build, and deploy AI-powered enterprise applications across the SDLC. You will work with LLMs, RAG, and agentic workflows to deliver scalable solutions that meet business needs.

You will collaborate with engineers, architects, product teams, and stakeholders to integrate AI technologies into enterprise software while ensuring security, reliability, and high performance in production environments.