This role pays less than
59%
of similar roles. Most pay
$149,500–$192,625
— the shaded band above.
At the midpoint, this role pays about
$172k
versus about
$171k
for comparable roles.
Based on 240 similar postings.
Employer
About AT&T
AT&T is a US-based telecommunications company providing wireless, broadband, and fiber internet service along with phone and connectivity products for consumers and businesses.
AT&T currently has
59 open roles
on FindRole.
Listed pay typically runs
$128,400–$228,600
across 51 roles with salary data.
AI-Native Software Engineer, Senior joins the team to build production-grade applications, APIs, and intelligent workflow automations that transform enterprise operations. Working in a collaborative model with business stakeholders, you will design and deploy AI-enabled systems using Large Language Models, agentic workflows, and retrieval-augmented generation. You will develop scalable backend services and full-stack solutions while integrating them into enterprise environments through various databases and event streams. The role requires proficiency in Python, frameworks like FastAPI, Flask, or Django, and orchestration tools such as LangGraph, Temporal, or Airflow. Key technical requirements include experience with vector search, CI/CD pipelines, containerization, and secure integration patterns like OAuth2. You will solve complex business challenges by creating robust software that leverages AI-assisted development to improve delivery speed while ensuring high standards for security, observability, and system reliability across the enterprise.
Design and deploy AI-enabled applications and intelligent workflow automations using LLM technologies.
Build and orchestrate agentic workflows using frameworks like LangGraph for multi-step automation.
Implement RAG, vector search, and context management strategies to improve AI accuracy.
Develop scalable backend services and APIs using Python frameworks such as FastAPI, Flask, or Django.
Integrate AI solutions with enterprise systems, databases, and event streams while ensuring security compliance.
Build full-stack software solutions including web interfaces and reusable platform components.
Establish evaluation frameworks, CI/CD pipelines, and monitoring tools for production-grade AI systems.
Translate complex business requirements into technical specifications through direct collaboration with stakeholders.
What we're looking for
Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, or a related technical field, or equivalent practical experience.
5+ years of professional software engineering experience delivering production-grade applications and services.
Experience building scalable backend services and RESTful APIs using Python frameworks such as FastAPI, Flask, or Django.
Experience developing software solutions that leverage LLM capabilities, agentic workflows, and AI-assisted tools.
Experience implementing RAG architectures, vector databases, and agent orchestration frameworks like LangGraph (preferred).
Experience with CI/CD pipelines, containerization, and automated testing frameworks.
Proficiency in system design, data modeling, and distributed systems.
Knowledge of enterprise security, including authentication, authorization, and secure integration patterns.
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Go
Java
TypeScript
React
Angular
Ember
Jest
Babel
HTML
CSS
REST API
AWS
Docker
Kubernetes
Terraform
Ansible
Jenkins
CI/CD
Prompt Engineering
Claude Code
Cursor
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