Jobs / United States / AT&T Services INC
Lead AI Engineer
AT&T Services INC · 🇺🇸 2 Locations
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 roles4 certified filings for “Senior Network Technology Engineer” (Computer Network Architects) in WA: $178k–$208k, median $187k. Most were filed at wage level II (75%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Last confirmed live 1 day agoWhen 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
At AT&T we’re redefining the future of communication by connecting people to greater possibility - with expertise, simplicity, and inspiration. At the heart of our purpose lies a diverse workforce of 140,000 people and a culture that aspires to serve customers first, act boldly, move faster, and win as one. Our Product Development group, part of AT&T’s Technology Services (ATS) organization, is responsible for building software-based products, services, and platforms that our customers love and need. Harnessing technology and rebuilding software expertise, the team is inspiring simplicity with projects that deliver revenue and cost savings opportunities. AT&T is building a new era of intelligent automation. We are looking for an advanced Lead AI Engineer who combines deep, hands-on technical expertise with proven leadership in architecting and scaling enterprise AI systems. The ideal candidate will have strong AI engineering expertise to architect, design, develop, and integrate production-ready intelligent systems. Mandatory requirement: The candidate should have either a PhD in the GenAI field or a strong research background in GenAI , including research areas related to GenAI approaches and risk areas such as security, privacy, and robustness, as well as significant prior exposure to GenAI tools and techniques. Main requirements: Deep expertise in full-stack Python, agentic frameworks (e.g., LangGraph, LangSmith), Model Context Protocol (MCP), prompt engineering, context engineering, harness engineering, Retrieval-Augmented Generation (RAG), large language models (LLMs), fine-tuning, and machine learning. Big plus: Deep knowledge of modern data stack technologies (e.g., Databricks, Snowflake) for pipeline integration and scalable deployment. As a Lead AI Engineer , you will architect, build, and deploy context-driven, production-ready AI solutions that transform how entire organizations work and deliver value. You’ll leverage the power of LLMs and next-gen AI agents to automate complex workflows, unleashing revolutionary productivity and efficiency. Your work will directly drive the adoption of autonomous AI agents, enabling smarter operations and seamless data pipelines. Core Responsibilities: • Collaborate cross-functionally with product, data science, and engineering teams to scope, define, and translate complex business needs into technical AI requirements. • Evaluate and select optimal technologies for cloud and on-premise deployments, implementing strategies for scalability, performance monitoring, and cost optimization. • Architect, develop, and integrate scalable agentic AI solutions, including the backend infrastructure required for seamless end-to-end deployment. • Implement testing, monitoring, and evaluation pipelines to continuously improve prompt effectiveness, context handling, and overall agent performance. • Participate in code reviews, contribute to best practices, and mentor peers on AI automation technologies and frameworks. Technical Skills: • Deep experience with full-stack Python development (FastAPI, Flask; SQL/NoSQL databases). • Deep proficiency with agentic frameworks such as LangGraph and LangSmith, including prompt engineering, context engineering, harness engineering, MCP, RAG, large language models (LLMs), fine-tuning, and machine learning. • Deep experience integrating AI agent solutions into production systems. • Deep experience with cloud infrastructure, containerization (Docker), and CI/CD practices. • Deep experience with AI-powered IDEs and tools such as Visual Studio, GitHub Copilot, Windsurf, Cursor, etc. • Exceptional analytical, problem-solving, and communication skills. Years of experience: 5+ years of software engineering or data science experience, with at least 2