AI Software Development Architect

This is a full-time onsite role based in the location(s) posted and is performed from the designated work location five days per week. No relocation is offered. "AT&T will not hire any applicants for this position who require employer sponsorship now or in the future."   AT&T is seeking an experienced AI - Enabled Software Development Architect who is passionate about transforming how software engineering teams build, deliver, and scale solutions using artificial intelligence.   In this highly technical, hands-on role, you will serve as a technical architect, advisor, and AI engineering expert, helping development teams adopt AI-first engineering practices and modern AI coding technologies, including Claude Code, Windsurf, Codex, agentic AI solutions, NVIDIA technologies, and large language model (LLM) inference platforms.   You will play a critical role in accelerating enterprise AI adoption by designing production-grade AI solutions, improving developer productivity, strengthening software quality, and shortening development cycles. You will also help shape and scale foundational AI platforms and governance capabilities, including AI Gateway and Agent365.   As a force multiplier across engineering organizations, you will help teams move beyond AI experimentation and implement practical, repeatable, production-ready solutions that deliver measurable business value. Bring your bold ideas and fearless risk-taking to redefine connectivity and transform how the world shares stories and experiences that matter. When you step into a career with AT&T, you won’t just imagine the future, you’ll create it. Key Responsibilities   AI Architecture & Engineering • Design, develop, and optimize agentic AI solutions that support software engineering and developer productivity initiatives. • Apply hands-on expertise with the NVIDIA technology stack to design and optimize enterprise AI solutions. • Design and optimize LLM inference architectures for performance, scalability, reliability, and cost efficiency. • Build and enhance AI-powered automation capabilities that enable engineering teams to develop and deliver software more efficiently. • Support the development and evolution of Agent365, AI Gateway, and related enterprise AI governance capabilities. • Develop solutions that improve AI platform performance, scalability, monitoring, governance, and cost efficiency. • Translate complex or ambiguous business requirements into scalable, production-grade AI and machine learning architectures. • Evaluate emerging AI technologies and determine the appropriate technical architecture, methodology, and implementation approach.   AI Adoption & Developer Productivity • Partner with software engineering, product, and technology teams to accelerate the adoption of AI-assisted software development practices. • Serve as a trusted technical advisor and coach, helping engineering teams improve productivity through AI-enabled development workflows. • Guide engineering organizations in implementing AI-first development methodologies, tools, patterns, and best practices. • Drive initiatives designed to reduce token consumption, optimize AI workloads, and maximize return on investment. • Create reusable frameworks, architectural patterns, documentation, and training materials to help scale successful AI adoption across the enterprise. • Evaluate emerging AI development tools and recommend solutions aligned with enterprise technology objectives. • Establish metrics and communicate the impact of AI-enabled development initiatives through measurable productivity and business outcomes.   Required Qualifications • PhD in an approved field from an approved university with a minimum of 4 years of relevant experience; or • Master’s degree in an approve