E-3 Visa AI Architect Jobs
AI Architect roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree in computer science, AI, or a related field. The E-3 has no lottery and no annual cap, making it a reliable path for Australian professionals targeting U.S. roles in machine learning infrastructure, large language model deployment, and enterprise AI strategy.
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INTRODUCTION
At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That’s how we’re UNSTOPPABLE for our employees!
This is not a remote position. T-Mobile is a hybrid work environment requiring work in the office three (3) days per week. The successful candidate will be located in either Seattle, Washington or Frisco, Texas areas.
Job Overview
This is a forward-deployed principal architect who embeds directly with T-Mobile's B2B customers to design and build the end-to-end technical solution for the company's commercial AI products (Physical Edge AI and Data Products). The role translates real customer use cases into deployable architectures on T-Mobile's cellular network and edge platform, ISV ecosystem, and data-at-scale layer, carrying solutions from proof-of-concept through production. It blends deep solution architecture with hands-on delivery and direct customer engagement, making rapid technical trade-offs in the field rather than from a central function, and turning validated pilots into reusable reference architectures that scale across customers. Because these solutions are delivered over T-Mobile's network, deep working knowledge of cellular network and connectivity (5G, network slicing, and edge/MEC) is core to the role. It is distinguished from a central enterprise architect by its customer-embedded, build-oriented nature and its close partnership with the Product Management & AI Engineering, which productizes field learnings into the platform. Success is measured by validated customer pilots and the speed by which they are deployed, that convert to production and revenue.
Job Responsibilities
- Embed directly with B2B customers to design end-to-end solutions and build proofs-of-concept on T-Mobile's edge platform, ISV ecosystem, and data-at-scale layer (ingestion, fusion, fine-tuning, inference).
- Translate ambiguous customer use cases and requirements into deployable architectures that meet latency, accuracy, reliability, and cost targets.
- Make hands-on architectural and integration trade-offs in the field, iterating rapidly with customers and ISV partners.
- Build and integrate - prototype, wire up data/ML pipelines, and integrate third-party software; not solution design alone.
- Develop reusable reference architectures, integration patterns, and standards so proof-of-concept findings productize cleanly into the platform, partnering with AI Engineering.
- Serve as the primary technical point of contact across customer engagements, solution and PRD reviews, and the transition from pilot to production and revenue.
- Provide technical leadership and mentorship to forward-deployed engineers and deployment strategists on the engagement/POD teams.
- Also responsible for other duties/projects as assigned by business management as needed.
EDUCATION AND WORK EXPERIENCE
Required:
- Bachelor's Degree and 7 years of related work experience OR a combination of education and experience deemed equivalent
- Working knowledge of cellular network and connectivity - 5G, network slicing, edge/MEC, and SIM provisioning and how they shape edge-AI solution design
Preferred:
- Acceptable areas of study include Computer Science, IT, Computer Engineering, Telecom Engineering or a related field
- 7-10 years dynamic experience as a forward-deployed engineer, solutions architect, or delivery consultant embedding directly with external customers to design and build technical solutions
- Hands-on experience building and deploying solutions - prototyping, data/ML pipelines, containerized/edge deployment (OpenShift/Kubernetes), and integrating third-party/ISV software
- Experience with edge computing, real-time inference, distributed systems, and AI/ML platforms; designing for latency, reliability, and cost at scale
- Experience taking solutions from proof-of-concept through production with external customers
- 2-4 years of supervisory or technical-leadership experience
KNOWLEDGE, SKILLS AND ABILITIES
Required:
- Cellular Network & Connectivity - 5G, network slicing, edge/MEC, SIM provisioning
- Solution Architecture & Design
- Systems & Cloud Architecture
- Hands-on Software / Prototype Development
- Data & ML Pipeline Design (ingestion, fusion, fine-tuning, inference)
- Edge / Real-time Inference Architecture
- ISV /Third-party Integration
- Containerized & Edge Deployment (OpenShift / Kubernetes)
- Customer-facing Technical Communication & Presenting Solutions
- Requirements Gathering & Translating Use Cases into Architecture
- Stakeholder & Partner Relationship Management
- Rapid Technical Trade-off & Decision-making
Preferred:
- Agile / Iterative Delivery
- Commercial / pricing awareness for solution feasibility
Preferred Licenses and Certifications
- Cloud architecture certification (AWS / Azure / GCP)
- Kubernetes / container certification (CKA / CKAD)
- TOGAF or equivalent enterprise-architecture certification
LOCATION
Location: Seattle, Washington or Frisco, Texas
TRAVEL
Travel Required (Yes/No): Yes
DOT REGULATED
DOT Regulated Position (Yes/No): No
Safety Sensitive Position (Yes/No): No
COMPENSATION
- Base Pay Range: $126,700 - $228,500
- Corporate Bonus Target: 20%
The pay range above is the general base pay range for a successful candidate in the role. The successful candidate’s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.
At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee’s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance.
At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs!
EEO STATEMENT
T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.
Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship in AI Architect
Frame your credentials for U.S. specialty occupation
Australian three-year bachelor's degrees are generally accepted as equivalent to U.S. four-year degrees for E-3 visa purposes, but your offer letter must tie your specific degree field to the AI Architect role. Ask your employer to state that a degree in computer science, AI, or a related field is a minimum requirement.
Target employers with active LCA filing history
Search the DOL's OFLC public disclosure data for employers who have filed Labor Condition Applications for AI or machine learning architect roles. Prior LCA activity signals that a company already understands the E-3 sponsorship process and won't stall on paperwork after you accept an offer.
Address dual intent before your interview
The E-3 is a nonimmigrant visa, so consular officers expect you to demonstrate intent to return to Australia when your role ends. Prepare a clear answer about your ties to Australia: property, family, professional commitments. This matters more for senior AI roles that attract green card pathways.
Use Migrate Mate's E-3 filing service for complex scopes
AI Architect roles often involve multi-site or client-facing work arrangements that can complicate LCA filing. Use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork, ensuring the prevailing wage level and worksite details are filed correctly the first time.
Negotiate LCA filing into your offer timeline
The DOL certifies most LCAs within seven business days, but your employer must post the LCA at your primary worksite for ten calendar days before submitting. Build this into your start-date negotiation so onboarding isn't delayed by a filing window your employer didn't anticipate.
Verify E-Verify enrollment before signing a remote offer
If you're accepting a fully remote AI Architect role, confirm your employer is enrolled in E-Verify before you sign. Remote arrangements trigger specific LCA worksite rules, and some smaller AI startups haven't completed E-Verify enrollment, which creates complications at the consulate stage.
E-3 Visa AI Architect: Frequently Asked Questions
How do I find AI Architect jobs that offer E-3 visa sponsorship?
Migrate Mate is built specifically for this search. It surfaces U.S. AI Architect roles from employers with active E-3 and LCA filing history, so you're not cold-applying to companies that have never sponsored an Australian professional. Filter by role and location to identify employers already familiar with the E-3 process.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does an AI Architect role qualify as a specialty occupation for the E-3?
Yes. AI Architect positions require at minimum a bachelor's degree in computer science, artificial intelligence, machine learning, or a closely related field, which meets the DOL and USCIS specialty occupation standard. The key is that your employer's job description must specify the degree requirement explicitly, not just list it as preferred. Roles that accept any bachelor's degree regardless of field may not qualify.
How does the E-3 compare to the H-1B for AI Architect roles?
For Australian nationals, the E-3 is a significantly more reliable path. The H-1B visa is subject to an annual lottery with roughly a one-in-four selection rate for most applicants, meaning you could have an offer and still not secure authorization. The E-3 has no lottery and no numerical cap, so a qualified AI Architect with a valid job offer can apply directly without waiting for a selection result.
Can I switch employers after starting on an E-3 as an AI Architect?
Yes, but the process restarts with each new employer. Your new employer must file a fresh LCA with the DOL and you'll need a new E-3 visa stamp if you travel internationally, or a change of status filing if you remain in the U.S. There's no portability provision equivalent to AC21 on the E-3, so plan the transition timeline carefully with your new employer before resigning.