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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Director, Technology - AI Engineering Transformation - **Company:** AT&T Inc. - **Location:** Dallas, TX, United States - **Experience:** Experienced - **Salary:** $210,600.0 - $316,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Application Release Automation, JIRA, Microsoft Azure, Mobile Application Development, Cloud Foundry, Software Quality, Information Systems, Continuous Delivery, Continuous Integration, Cursor (Graphical User Interface Elements), DevOps, Programming Tools, Github, Automation of Marketing, Systems Development Life Cycle, Reliability Engineering, Software Construction, Software Engineering, SonarQube, GitHub Copilot, System Availability, Containerization, Kubernetes, Information Technology, Data Analytics, Terraform, Artifactory - **Published:** August 30, 2026 - **Apply:** https://dejobs.org/x/x/B0AB785F949C416295A5BDE67D21634E/job/ ## About the Role * Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience. * 8+ years of progressive technology leadership experience, including leading software engineering, platform engineering, or DevOps organizations. * 3+ years managing teams focused on SDLC automation, platform engineering, release engineering, or digital product delivery. * Hands-on experience with cloud-native technologies, Kubernetes, and public cloud platforms (AWS, Azure, or GCP). * Expertise implementing CI/CD pipelines, Infrastructure as Code (Terraform), and modern software delivery practices. * Experience deploying and scaling AI-assisted development tools such as GitHub Copilot, Cursor, or similar AI coding platforms. * Proven success leading enterprise-scale technology transformations and driving measurable improvements in delivery performance. * Strong knowledge of platform reliability, observability, security, compliance, and operational excellence. What You'll Bring: * Deep technical expertise in modern application architectures, DevOps, SRE, and software engineering best practices. * Strong understanding of AI-native development workflows, automation, and engineering productivity platforms. * Experience with developer tooling ecosystems including GitHub, Jira, SonarQube, Artifactory, Backstage, LaunchDarkly, or similar platforms. * Exceptional communication and executive storytelling skills with the ability to translate technical strategy into business outcomes. * Demonstrated success leading organizational change and driving adoption across large engineering organizations. * Strong talent leadership, including hiring, coaching, and developing high-performing engineering teams. * A data-driven approach to improving engineering velocity, platform reliability, and developer experience. * Passion for innovation and building modern engineering organizations capable of delivering at enterprise scale. ## Description We are seeking a Director, Technology - AI Engineering Transformation to lead the transformation of our software delivery organization through AI-accelerated engineering practices, modern DevOps platforms, and developer experience (DevEx) innovation. This leader will oversee cross-functional teams spanning DevOps/SRE, Developer Tooling, and Automation Engineering while driving enterprise-wide adoption of AI-assisted software development. This highly visible role requires a blend of technical expertise, organizational leadership, and change management experience to modernize how software is built, tested, deployed, and operated across the enterprise. What You'll Do: * Lead the strategy and execution of AI-accelerated software development and delivery across engineering teams. * Drive adoption of AI-assisted development tools, agentic workflows, and modern engineering practices to improve developer productivity and software quality. * Manage and develop teams responsible for DevOps, SRE, developer tooling, release engineering, and automation platforms. * Establish governance, security controls, and best practices for AI-enabled software development. * Own the engineering toolchain, including CI/CD, code quality, release automation, and cloud-native platform capabilities. * Define and measure engineering effectiveness through DORA metrics, DevEx indicators, platform reliability, and operational performance. * Partner with product, architecture, security, and business leaders to align technology investments with enterprise goals. * Lead executive communications, business case development, and organizational change initiatives supporting engineering modernization., * AI-assisted development becomes a core capability across engineering teams, driving measurable improvements in productivity and delivery speed. * Engineering teams consistently deliver secure, reliable, and scalable software through modern automated delivery practices. * Developer experience improves through streamlined tooling, reduced friction, and increased automation. * Platform reliability, operational transparency, and delivery performance improve across the organization. * Executive stakeholders understand and support the engineering transformation roadmap through clear business value and measurable outcomes. ## Related Videos - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [The New Org Chart: When AI Joins the Workforce](https://www.wearedevelopers.com/videos/100036-the-new-org-chart-when-ai-joins-the-workforce) - [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks) - [The AI-Native Engineering Org: What’s Real, What’s Hype, What’s Next](https://www.wearedevelopers.com/videos/100004-the-ai-native-engineering-org-what-s-real-what-s-hype-what-s-next) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)