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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Get Access To All JobsAbout Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role:
As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping customers understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your technical depth with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.
As a Commercial Solutions Architect, you'll go deep with priority accounts as a hands-on builder, while creating reusable blueprints, demos, and enablement that extend Claude's reach across the broader Commercial book of business.
Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
Responsibilities:
- Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
- Serve as the primary technical advisor to customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams and stakeholders to drive customer success
- Support customers building with the Claude API, Claude Code, and Claude for Enterprise
- Ship working code. Build prototypes and proof-of-concepts hands-on, develop eval frameworks, and write near-production examples that customers can extend
- Build reusable blueprints, demos, and enablement assets that scale across customers
- Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
- Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
- Identify common integration patterns and contribute insights back to our Product and Engineering teams
- Travel occasionally to customer sites for workshops, technical deep dives, and relationship building
- Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
You may be a good fit if you have:
- 3+ years of highly technical experience as a software engineer (or equivalent) with some customer-facing exposure, OR 3+ years as a Solutions Architect, Sales Engineer, or Technical Account Manager with strong hands-on building experience
- A builder identity. You've shipped real software, you have technical taste, and you care about the craft of what you build
- A systems mindset. When you see a problem, your instinct is to ask "how do I make this reusable." You'd rather build one thing that serves ten customers than ten things that serve one each
- Strong coding ability. You ship prototypes regularly and can work in a real codebase, not just notebooks. Comfort with Python expected
- Strong ability to build trust with technical stakeholders and adjust your communication for varied audiences
- Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
- Experience designing scalable cloud architectures and integrating with enterprise systems
- Familiarity with common LLM frameworks and tools, or a background in machine learning or data science
- Comfort operating in early-stage, ambiguous environments where the playbook doesn't exist yet, and a track record of building structure as you go
- Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
- A love of teaching, mentoring, and helping others succeed
- Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$240,000 - $315,000 USD
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role:
As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping customers understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your technical depth with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.
As a Commercial Solutions Architect, you'll go deep with priority accounts as a hands-on builder, while creating reusable blueprints, demos, and enablement that extend Claude's reach across the broader Commercial book of business.
Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
Responsibilities:
- Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
- Serve as the primary technical advisor to customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams and stakeholders to drive customer success
- Support customers building with the Claude API, Claude Code, and Claude for Enterprise
- Ship working code. Build prototypes and proof-of-concepts hands-on, develop eval frameworks, and write near-production examples that customers can extend
- Build reusable blueprints, demos, and enablement assets that scale across customers
- Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
- Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
- Identify common integration patterns and contribute insights back to our Product and Engineering teams
- Travel occasionally to customer sites for workshops, technical deep dives, and relationship building
- Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
You may be a good fit if you have:
- 3+ years of highly technical experience as a software engineer (or equivalent) with some customer-facing exposure, OR 3+ years as a Solutions Architect, Sales Engineer, or Technical Account Manager with strong hands-on building experience
- A builder identity. You've shipped real software, you have technical taste, and you care about the craft of what you build
- A systems mindset. When you see a problem, your instinct is to ask "how do I make this reusable." You'd rather build one thing that serves ten customers than ten things that serve one each
- Strong coding ability. You ship prototypes regularly and can work in a real codebase, not just notebooks. Comfort with Python expected
- Strong ability to build trust with technical stakeholders and adjust your communication for varied audiences
- Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
- Experience designing scalable cloud architectures and integrating with enterprise systems
- Familiarity with common LLM frameworks and tools, or a background in machine learning or data science
- Comfort operating in early-stage, ambiguous environments where the playbook doesn't exist yet, and a track record of building structure as you go
- Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
- A love of teaching, mentoring, and helping others succeed
- Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$240,000 - $315,000 USD
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
See all 485+ AI Architect jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Architect roles.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as an 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 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.
AI Architect jobs are hiring across the US. Find yours.
Find AI Architect JobsAI Architect E-3 Visa: 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 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.
See which AI Architect employers are hiring and sponsoring visas right now.
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