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AT&T

Associate Director – Technology, AI Native Software

AT&T

Associate Director leading AT&T engineering teams building AI-native software and digital products. Guiding AI agents, LLM platforms, and full-stack Python products from concept to production.

Posted 9/3/2026full-timeDallas • Texas • 🇺🇸 United StatesSenior💰 $191,400 - $287,200 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in leading AI-native software product development, managing multidisciplinary engineering teams, and delivering scalable, reliable solutions. Proficient in technical architecture for AI agent systems and full-stack Python applications, with a strong focus on innovation and operational excellence.

Highest-signal resume keywords
AI-Native Product DevelopmentFull-Stack Python Application DevelopmentAI Agent ArchitecturesEngineering Team LeadershipDevOps and MLOps Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI Agent ArchitecturesLLM TechnologiesFull-Stack Python Application DevelopmentPrompt EngineeringContext EngineeringAI Developer ToolsAI-Native SDLC MethodologiesIntegration of AI SolutionsComplex Software Solutions DeliveryResource Management
Soft Skills
Talent ManagementCoaching and MentoringCommunication with StakeholdersStrategic PlanningInnovation Advocacy
Tools & Technologies
AI Developer ToolsAgentic Coding PlatformsAPIsData PlatformsEnterprise Applications
Industry Keywords
AI/ML SolutionsDigital Platform SolutionsEnterprise-Scale EnvironmentsHigh-Growth OrganizationsRegulated Environments

Tech Stack

Tools & technologies
PythonSDLC

About the role

Key responsibilities & impact
  • Lead delivery of AI-native software products and platforms from ideation through production deployment
  • Manage and grow a multidisciplinary engineering organization spanning LLM, prompt, context, frontend, backend, and integration engineering
  • Define and guide technical architecture for AI agent systems, LLM-powered solutions, and full-stack Python applications
  • Establish and improve AI-native software development practices, including AI-assisted coding, agentic workflows, and accelerated release cycles
  • Partner with Product, Design, and Business leaders to translate strategic objectives into technical roadmaps and delivery plans
  • Drive engineering excellence focused on scalability, reliability, security, and operational performance
  • Oversee resource planning, prioritization, and delivery across concurrent workstreams and engineering disciplines
  • Coach, mentor, and develop engineering managers and individual contributors
  • Communicate delivery progress, risks, and outcomes to senior leadership and key stakeholders
  • Champion innovation and practical application of AI technologies to accelerate product development and business value

Requirements

What you’ll need
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent experience
  • 8+ years of progressive experience in technology leadership roles
  • 3+ years of direct management experience leading engineering teams delivering AI/ML, automation, or digital platform solutions
  • Experience leading AI-native product development from concept through deployment in enterprise-scale environments
  • Hands-on technical expertise in AI agent architectures, LLM technologies, and full-stack Python application development
  • Demonstrated experience managing resources and priorities across multiple engineering disciplines
  • Proven ability to deliver complex software solutions at scale while maintaining high standards for quality and reliability
  • Strong talent management experience, including hiring, coaching, and team development
  • Experience with prompt engineering, context engineering, and LLM evaluation frameworks
  • Familiarity with agentic coding platforms, AI developer tools, and AI-native SDLC methodologies
  • Experience integrating AI solutions with enterprise applications, APIs, and data platforms
  • Knowledge of DevOps, MLOps, and production AI operations
  • Experience leading teams within high-growth, transformation-focused, or innovation-driven organizations
  • Experience deploying AI-powered products in highly regulated, large-scale enterprise environments

Benefits

Comp & perks
  • Medical/Dental/Vision coverage
  • 401(k) plan
  • Tuition reimbursement program
  • Paid Time Off and Holidays (at least 23 days of vacation each year and 9 company-designated holidays)
  • Paid Parental Leave
  • Paid Caregiver Leave
  • Additional sick leave beyond what state and local law require may be available but is unprotected
  • Adoption Reimbursement
  • Disability Benefits (short term and long term)
  • Life and Accidental Death Insurance
  • Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
  • Employee Assistance Programs (EAP)
  • Extensive employee wellness programs
  • Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone