Director-Technology, Enterprise Agentic Solutions

AT&T

Quick summary

Work type
On-site
Location
Dallas, TX
Salary
$210,600–$316,000 / yr
Posted
2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $239k
This role $263k
$164k most similar roles pay here $332k

This role pays more than 73% of similar roles. Most pay $208,412–$270,000 — the shaded band above. At the midpoint, this role pays about $263k versus about $239k 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 $140,000–$215,800 across 55 roles with salary data.

Most-posted roles

View all roles at AT&T

At a glance

TL;DR · Director-Technology, Enterprise Agentic Solutions

The Director of Technology will lead and scale delivery teams building enterprise agentic AI solutions, managing engineers across disciplines such as LLM/Prompt-Context Engineering, Backend/Agent Engineering, and Integration Engineering. This leader translates strategic initiatives into shipped products that drive measurable business value, setting technical direction and engineering standards while ensuring quality and operational readiness. They must have hands-on experience with fullstack Python development, prompt engineering for LLMs, and deploying AI agents in production environments using frameworks like LangGraph. The role requires expertise in DevOps strategy, CI/CD governance, and platform security, as well as cross-functional collaboration to deliver end-to-end AI applications. Ideal candidates have 8+ years of technology leadership experience with a focus on AI-native delivery at enterprise scale.

What you'll do

  • Lead and manage a team of engineers delivering AI and agentic solutions.
  • Own end-to-end execution for AI initiatives, ensuring quality and operational readiness.
  • Set technical direction and engineering standards across all workstreams.
  • Provide architectural oversight for LLM integration and multi-agent orchestration.
  • Ensure scalable deployment of AI agents through robust backend services and CI/CD pipelines.

What we're looking for

  • Over 8 years of progressive technology leadership with at least 3 years managing AI/ML engineering teams.
  • Deep hands-on experience in fullstack Python development and LLM integration using frameworks like LangGraph.
  • Proven track record of delivering scalable, production-grade AI solutions across multiple disciplines.
  • Expertise in DevOps practices, CI/CD pipelines, and platform security for AI-native services.
  • Strong background in architectural oversight and technical leadership for multi-agent systems and RAG strategies.
  • Demonstrated ability to recruit, develop, and retain top engineering talent for high-performing teams.

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