Jobs / United States / AT&T Services INC
Senior AI-Native Software Engineer
AT&T Services INC · 🇺🇸 USA:TX:Dallas / Two AT&T Plaza (211 S Akard St) - Dat:211 S Akard St
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 393 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 80 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What AT&T Services INC paid sponsored hires in similar roles133 certified filings for “Lead Software Engineering” (Software Developers) in TX: $157k–$175k, median $166k. Most were filed at wage level IV (70%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — AT&T Services INC
The US Department of Labor certified 393 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 80 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for AT&T Services INC →
About the role
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 . Join our Billing Engineering team and help redefine how enterprise software is built. We're looking for a highly skilled software engineer who combines deep backend engineering expertise with a passion for AI-assisted development. In this role, you'll design and deliver modern digital platforms while pioneering the use of Generative AI, LLMs, and agentic engineering tools to dramatically accelerate software delivery, improve code quality, and enhance developer productivity. You'll serve as a force multiplier across the organization by helping teams adopt AI-powered development practices that transform the software development lifecycle. What You'll Do: Build and Modernize Enterprise Platforms • Design, develop, and deploy scalable microservices and high-performance APIs using technologies such as Java/Spring Boot, Python, Node.js, or Go. • Develop enterprise-grade digital capabilities including API gateways, event-driven architectures, messaging systems, and cloud-native services. • Build integrations with relational and NoSQL databases while ensuring reliability, security, and scalability. • Deliver production-ready software that follows clean code principles, modern architectural standards, and secure development practices. Accelerate Engineering Through AI • Leverage AI coding assistants including GitHub Copilot, Cursor, Devin, and other agentic development tools to increase speed, efficiency, and software quality. • Create reusable prompt frameworks, engineering workflows, and automation scripts that eliminate repetitive development tasks. • Utilize Generative AI to automate testing, code generation, documentation, refactoring, and modernization efforts. • Evaluate emerging AI technologies and identify opportunities to improve engineering productivity across teams. Champion Developer Productivity • Lead adoption of AI-assisted software engineering best practices across development teams. • Coach engineers on prompt engineering, context management, code review techniques, and responsible use of generative AI. • Review both human-generated and AI-generated code to ensure maintainability, security, and compliance with architectural standards. • Partner closely with product, architecture, and platform teams to rapidly prototype and deliver new capabilities. • Drive CI/CD improvements including AI-powered code quality analysis, automated testing, pull request summarization, and deployment automation. What You'll Bring: • Passion for building modern software while pushing the boundaries of AI-assisted engineering. • Proven ability to leverage AI and automation to improve engineering velocity and developer experience. • Strong problem-solving skills with a focus on scalability, reliability, and maintainability. • A continuous learning mindset and enthusiasm for staying current with emerging AI models, developer tools, and software engineering trends. • Excellent communication and collaboration skills with the ability to mentor engineers and influence technical direction. • Experience balancing rapid innovation with enterprise-grade quality, security, and governance requirements. What You'll Need: Required Qualifications • 5+ years of professional software engineering experience developing and deploying enterprise applications and distributed systems. • Strong proficiency in at least one modern backend technology stack: Java / Spring Boot Python / FastAPI / Django Go Node.js • Hands-on experience building microservices, APIs, and cloud-native applications. • Demonstrated expertise using AI-assisted development tools such as GitHub Copilot, Curs