Associate Director-technology, AI Native Software

AT&T AT&T · Telecom · Dallas, TX

Associate Director, Technology role leading and scaling engineering teams responsible for building AI-native software and digital products. The role drives end-to-end execution from concept through production for innovative platforms using AI-assisted coding and agentic development workflows, focusing on enterprise scale.

What you'd actually do

  1. Lead the delivery of AI-native software products and platforms from ideation through production deployment.
  2. Manage and grow a multidisciplinary engineering organization spanning: LLM, Prompt, and Context Engineering, Frontend and Backend Engineering, Integration Engineering
  3. Define and guide technical architecture for AI agent systems, LLM-powered solutions, and full-stack Python applications.
  4. Establish and continuously improve AI-native software development practices, including AI-assisted coding, agentic workflows, and accelerated release cycles.
  5. Partner with Product, Design, and Business leaders to translate strategic objectives into executable technical roadmaps and delivery plans.

Skills

Required

  • Proven success leading and scaling high-performing software engineering organizations.
  • Strong expertise in delivering AI/ML, automation, or intelligent software solutions in enterprise environments.
  • Experience managing cross-functional engineering teams across backend, full-stack, AI/ML, cloud, and DevOps disciplines.
  • Technical fluency in AI agent architectures, large language models (LLMs), retrieval-augmented systems, and modern software engineering practices.
  • A collaborative leadership style with the ability to influence stakeholders across business and technology organizations.
  • Strong business acumen and the ability to balance speed, innovation, quality, and operational risk.
  • Demonstrated success recruiting, developing, and retaining top engineering talent.
  • Exceptional communication, decision-making, and organizational leadership skills.
  • 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.

Nice to have

  • 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.

What the JD emphasized

  • AI-native software development practices
  • AI-assisted coding
  • agentic development workflows
  • AI agent systems
  • LLM-powered solutions

Other signals

  • leading and scaling engineering teams
  • AI-native software and digital products
  • AI-assisted coding
  • agentic development workflows
  • enterprise scale