AI Software Development Architect

AT&T•Dallas, TX

8d•$189,200 - $283,800•Onsite

About The Position

AT&T is seeking an experienced AI-Enabled Software Development Architect to help software engineering teams build, deliver, and scale solutions using artificial intelligence. This hands-on technical architect, advisor, and AI engineering expert will help 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. The role accelerates enterprise AI adoption by designing production-grade AI solutions, improving developer productivity and software quality, and shortening development cycles. It also contributes to foundational AI platforms and governance capabilities, including AI Gateway and Agent365. The architect helps engineering organizations move from AI experimentation to practical, repeatable, production-ready solutions that deliver measurable business value. This is a full-time onsite position performed at the designated work location five days per week. The position is based at Two AT&T Plaza in Dallas, Texas, and relocation is not offered. AT&T will not hire applicants who require employer sponsorship now or in the future. The advertised annual salary range is $189,200 to $283,800; individual starting salary may depend on geography, experience, expertise, and education or training.

Requirements

PhD in an approved field from an approved university and at least 4 years of relevant experience; or a master's degree in an approved field from an approved university and at least 6 years of relevant experience; or a bachelor's degree in an approved field from an approved university and at least 8 years of relevant experience.
Hands-on experience working with the NVIDIA AI technology stack.
Deep technical knowledge of large language model inference.
Experience designing and implementing production-grade AI, machine learning, or agentic AI solutions.
Experience with AI-assisted software development tools and modern AI engineering practices.
Demonstrated ability to translate complex business and technical requirements into scalable AI architectures.
Experience optimizing AI solutions for performance, scalability, observability, and cost efficiency.

Nice To Haves

Experience with AI coding and agentic development tools such as Claude Code, Windsurf, Codex, or comparable technologies.
Experience developing enterprise AI platforms, gateways, governance solutions, or reusable AI frameworks.
Experience implementing AI solutions across large-scale software engineering organizations.
Strong understanding of developer productivity, AI-assisted software development workflows, and software engineering lifecycle practices.
Ability to influence technical direction and coach engineering teams without direct management responsibility.

Responsibilities

Design, develop, and optimize agentic AI solutions for 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 to help engineering teams develop and deliver software more efficiently.
Support the development and evolution of Agent365, AI Gateway, and related enterprise AI governance capabilities.
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 appropriate technical architectures, methodologies, and implementation approaches.
Partner with software engineering, product, and technology teams to accelerate adoption of AI-assisted software development practices.
Advise and coach engineering teams on improving productivity through AI-enabled development workflows.
Guide engineering organizations in implementing AI-first development methodologies, tools, patterns, and best practices.
Drive initiatives to reduce token consumption, optimize AI workloads, and maximize return on investment.
Create reusable frameworks, architectural patterns, documentation, and training materials to 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.

Benefits

Medical, dental, and vision coverage
401(k) plan
Tuition reimbursement program
Paid time off and holidays, including at least 23 vacation days each year and 9 company-designated holidays, based on date of hire
Paid parental leave
Paid caregiver leave
Additional sick leave beyond what state and local law require may be available but is unprotected
Adoption reimbursement
Short- and long-term disability benefits
Life and accidental death insurance
Supplemental benefit programs, including critical illness, accident hospital indemnity, and group legal
Employee Assistance Programs (EAP)
Employee wellness programs
Employee discounts of up to 50% on eligible AT&T mobility plans and accessories, AT&T internet (including fiber where available), and AT&T phone