Solutions Architect Jobs at Anthropic with Visa Sponsorship
Solutions Architect jobs at Anthropic sit at the intersection of AI research and enterprise deployment, requiring deep technical fluency and strong client-facing skills. Anthropic has a consistent track record of sponsoring work visas for this function, supporting candidates across multiple nonimmigrant visa categories.
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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 a Solutions Architect on the Startups Applied AI team at Anthropic, you will win the trust of founders and engineers by being an exceptional technical partner, helping startups successfully build on the Claude Developer Platform as they grow from early product to scale. You'll combine deep technical expertise with a builder-first mindset to help startups architect innovative LLM solutions, win technical evaluations, and get the most out of Claude. Working closely with Account Executives and the broader Sales, Product, and Engineering teams, you'll guide startups from initial technical discovery through successful deployment and beyond. You'll leverage your expertise to help founders understand Claude's capabilities, develop evals, and design architectures that maximize the value of our AI systems.
Responsibilities
- Partner with Account Executives to deeply understand startup requirements, translate them into technical solutions, and serve as a trusted technical advisor throughout the Claude adoption journey from initial evaluation through deployment and expansion
- Win technical evaluations that demonstrate why Claude is the best foundation for what startups are building, helping them develop evaluation frameworks to measure Claude's performance for their specific use cases
- Build technical credibility with founders, founding engineers, and startup engineering teams by speaking their language, understanding their build patterns, and guiding technical architecture decisions
- Gather insights on how startups are building with Claude, identify emerging use cases and deployment patterns, and deliver feedback to Product and Engineering teams
- Travel to customer sites, startup-focused events, and industry conferences for workshops, technical deep dives, and relationship building
You May Be a Good Fit If You Have
- 3+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, Forward Deployed Engineer, or technical founder who has done founder-led sales
- Experience working with startups or high-growth technology companies; you understand the velocity and constraints of early-stage companies
- Strong builder credibility through experience as a software engineer or technical founder; you speak the language of builders and have the presence to earn the trust of technical founders and startup engineering teams
- Deep technical proficiency with building and scaling AI products, a pulse on AI engineering best practices, and the ability to demonstrate why Claude is the best foundation
- Hands-on experience building and deploying LLM-powered applications in production, with expertise in context engineering, evaluation frameworks, and modern AI architectures
- Strong technical communication skills with the ability to translate complex AI concepts into actionable insights for founders and engineering teams
- Track record of selling technical products in competitive markets
- Comfortable with Python and familiarity with common LLM frameworks, tools, and integration patterns
- Passion for making powerful technology safe and societally beneficial
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
$170,000—$270,000 USD
Logistics
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
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 a Solutions Architect on the Startups Applied AI team at Anthropic, you will win the trust of founders and engineers by being an exceptional technical partner, helping startups successfully build on the Claude Developer Platform as they grow from early product to scale. You'll combine deep technical expertise with a builder-first mindset to help startups architect innovative LLM solutions, win technical evaluations, and get the most out of Claude. Working closely with Account Executives and the broader Sales, Product, and Engineering teams, you'll guide startups from initial technical discovery through successful deployment and beyond. You'll leverage your expertise to help founders understand Claude's capabilities, develop evals, and design architectures that maximize the value of our AI systems.
Responsibilities
- Partner with Account Executives to deeply understand startup requirements, translate them into technical solutions, and serve as a trusted technical advisor throughout the Claude adoption journey from initial evaluation through deployment and expansion
- Win technical evaluations that demonstrate why Claude is the best foundation for what startups are building, helping them develop evaluation frameworks to measure Claude's performance for their specific use cases
- Build technical credibility with founders, founding engineers, and startup engineering teams by speaking their language, understanding their build patterns, and guiding technical architecture decisions
- Gather insights on how startups are building with Claude, identify emerging use cases and deployment patterns, and deliver feedback to Product and Engineering teams
- Travel to customer sites, startup-focused events, and industry conferences for workshops, technical deep dives, and relationship building
You May Be a Good Fit If You Have
- 3+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, Forward Deployed Engineer, or technical founder who has done founder-led sales
- Experience working with startups or high-growth technology companies; you understand the velocity and constraints of early-stage companies
- Strong builder credibility through experience as a software engineer or technical founder; you speak the language of builders and have the presence to earn the trust of technical founders and startup engineering teams
- Deep technical proficiency with building and scaling AI products, a pulse on AI engineering best practices, and the ability to demonstrate why Claude is the best foundation
- Hands-on experience building and deploying LLM-powered applications in production, with expertise in context engineering, evaluation frameworks, and modern AI architectures
- Strong technical communication skills with the ability to translate complex AI concepts into actionable insights for founders and engineering teams
- Track record of selling technical products in competitive markets
- Comfortable with Python and familiarity with common LLM frameworks, tools, and integration patterns
- Passion for making powerful technology safe and societally beneficial
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
$170,000—$270,000 USD
Logistics
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
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 Solutions Architect Jobs at Anthropic
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Solutions Architect Jobs at Anthropic.
Get Access To All JobsTips for Finding Solutions Architect Jobs at Anthropic
Align your portfolio to AI deployment
Anthropic hires Solutions Architects who can bridge frontier model capabilities and real-world enterprise use cases. Document projects where you've architected AI or ML integrations at scale before applying, so your materials speak directly to their deployment-focused work.
Target roles flagged for multiple visa types
Anthropic sponsors H-1B, H-1B1 visa, and E-3 visas for Solutions Architects. If you hold an Australian passport, the E-3 pathway has no lottery and year-round availability, making it worth flagging explicitly in conversations with their recruiting team.
Search verified sponsoring employers on Migrate Mate
Filter by company and role on Migrate Mate to surface active Solutions Architect openings at employers with a confirmed sponsorship track record. This removes guesswork and focuses your applications on positions where sponsorship is already established practice.
Clarify sponsorship scope during your recruiter screen
Ask the recruiter whether sponsorship covers the full H-1B lifecycle, including extensions and Green Card initiation. Anthropic operates in a research-intensive environment where long-term visa support matters, and confirming this early prevents misalignment before an offer is extended.
Time your application around H-1B cap registration
If you need H-1B cap sponsorship, USCIS opens registration each March for the following fiscal year. Starting your Anthropic interview process in January or February gives you the best chance of receiving an offer before the registration window closes.
Prepare credential documentation before offer stage
Solutions Architect petitions require evidence that your degree directly supports a specialty occupation. Gather transcripts, degree equivalency evaluations if your institution is outside the U.S., and employment verification letters before any offer arrives so the filing timeline isn't delayed.
Frequently Asked Questions
Does Anthropic sponsor H-1B visas for Solutions Architects?
Yes, Anthropic sponsors H-1B visas for Solutions Architect roles. The company has a consistent record of supporting visa filings for technical and client-facing positions in this function. If you're subject to the H-1B cap, your employer initiates registration with USCIS in March, so timing your interview process accordingly is important for a clean transition into sponsored status.
Which visa types does Anthropic commonly use for Solutions Architect roles?
Anthropic sponsors H-1B, H-1B1 visa, and E-3 visas for Solutions Architects. H-1B is the most widely used pathway for international candidates. H-1B1 is available to Chilean and Singaporean nationals, and the E-3 is exclusive to Australian citizens. The E-3 has no lottery and allows two-year renewable periods, making it a strong option for Australians targeting roles at Anthropic.
What qualifications or experience does Anthropic expect for Solutions Architect positions?
Anthropic's Solutions Architect roles typically require a bachelor's degree in computer science, engineering, or a closely related technical field, combined with hands-on experience deploying AI or machine learning solutions in enterprise environments. Strong communication skills matter as much as technical depth, since the role involves translating complex model capabilities into practical outcomes for research and commercial partners.
How do I apply for Solutions Architect jobs at Anthropic?
You can browse verified Solutions Architect openings at Anthropic with confirmed sponsorship support on Migrate Mate, which filters job listings by visa type and employer sponsorship history. From there, apply directly through Anthropic's careers portal. Preparing a portfolio that demonstrates AI integration or deployment work before applying will significantly strengthen your candidacy for this role.
How do I plan my timeline if I need visa sponsorship for an Anthropic Solutions Architect role?
If you need H-1B cap sponsorship, build your interview timeline to target an offer by late February, since USCIS opens H-1B registration in March. Once selected, your start date will be October 1 of that fiscal year. For E-3 or H-1B1 visa applicants, no lottery applies, so your timeline is driven by consular appointment availability and DOL Labor Condition Application processing, typically two to four weeks combined.