Lead Tech Business Management AI Software Engineer

AT&T

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Dallas, TX
Salary
$118,800–$178,200 / yr
Posted
22 days ago
Freshness
Confirmed live 2 days ago
Closes
Sep 24, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $212k
This role $148k
$103k most similar roles pay here $262k

This role pays less than 94% of similar roles. Most pay $189,625–$233,475 — the shaded band above. At the midpoint, this role pays about $148k versus about $212k for comparable roles.

Based on 239 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 61 open roles on FindRole.

Listed pay typically runs $117,350–$226,800 across 56 roles with salary data.

Most-posted roles

View all roles at AT&T

At a glance

TL;DR · Lead Tech Business Management AI Software Engineer

Lead Tech Business Mgmt - AI Software Engineer joins the team to design, build, and maintain data-driven solutions that automate processes and generate actionable insights. This role involves developing systems integrations via REST APIs, building middleware, and creating automated workflows to connect disparate platforms. The engineer will perform ETL/ELT operations on raw datasets, develop scalable data pipelines, and integrate LLMs, predictive models, and generative AI capabilities into business workflows. Key responsibilities include designing dashboards in Power BI, Tableau, or Looker to translate complex data into visual reports. Required skills include proficiency in Python, Java, C#, or JavaScript/TypeScript, along with strong SQL expertise. The role focuses on solving complex business problems by bridging the gap between technical implementation and practical applications using cloud platforms, Snowflake, Databricks, and various AI models like RAG and prompt engineering.

What you'll do

  • Design, develop, and maintain integrations between internal and external platforms using REST and other API-based services.
  • Build middleware, connectors, and automation workflows to enable seamless data exchange across disparate systems.
  • Develop ETL/ELT pipelines and data models to transform raw, complex datasets into trusted assets for analytics and AI.
  • Integrate LLMs, predictive models, and generative AI capabilities into existing business workflows and processes.
  • Prepare and engineer high-quality data specifically for machine learning and generative AI use cases.
  • Create dashboards and visualizations that translate complex data into actionable insights for leadership and stakeholders.
  • Evaluate emerging technologies and new software platforms to determine technical feasibility and business value.

What we're looking for

  • Proficiency in modern programming languages such as Python, Java, C#, or JavaScript/TypeScript.
  • Experience building and consuming REST and other API-based services for system integration.
  • Strong SQL skills and experience working with enterprise-scale datasets.
  • Experience developing data pipelines, ETL/ELT processes, and automation workflows.
  • Proficiency in dashboard and reporting platforms such as Power BI, Tableau, or Looker.
  • Familiarity with AI/ML concepts including LLMs, Generative AI, Prompt Engineering, and RAG.
  • Understanding of cloud platforms, data ecosystems, and modern AI platforms.
  • Ability to rapidly learn new technologies and solve complex problems in ambiguous environments.

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