AI Engineer Jobs at Anthropic with Visa Sponsorship
AI Engineer jobs at Anthropic involve building and evaluating frontier models across safety research, infrastructure, and product. The company has a consistent track record of sponsoring work visas for this function, supporting candidates through the full filing process from offer through status.
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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 the Global Leader of Applied AI Architects for Beneficial Deployments, you will lead the team of Applied AI Architects who serve as the primary technical partners to mission-driven organizations and non-profits adopting Claude. You'll build and scale a world-class, globally distributed team that turns frontier AI into real impact in education, global health, economic mobility, and life sciences—while shaping how Anthropic's most important societal partnerships are designed and delivered. You'll combine deep technical fluency with the leadership judgment needed to operate across segments, regions, and partner types—from global health foundations to leading research institutions to frontline nonprofits. You'll set the vision for how we scale our expertise from a handful of flagship partnerships to an ecosystem of organizations operating as AI-native, and you'll be accountable for the team, processes, and cross-functional relationships that make that possible. In collaboration with Beneficial Deployment’s Head of Nonprofits, Product, Engineering, Policy, and our broader GTM organization, you'll help ensure our partners incorporate Claude into their work responsibly, effectively, and in ways that meaningfully accelerate their missions. You'll represent Anthropic as a senior technical leader on some of our most visible and consequential partnerships, while maintaining our best-in-class safety standards.
Responsibilities
- Lead, grow, and mentor a globally distributed team of Architects supporting mission-driven non-profits across education, global health, economic mobility, and life sciences
- Set the vision, strategy, and operating model for how Applied AI shows up in Beneficial Deployments—from discovery through deployment, and from individual partnerships to ecosystem-wide infrastructure
- Establish hiring plans, team structure, and career development paths as we scale the team globally; set goals and reviews that promote growth, output, and a high bar for technical excellence
- Partner closely with segment leads and senior partner leadership to understand requirements and shape engagements on our highest-impact partnerships
- Drive the design of cohort-based accelerators, Claude Code enablement programs, and other scalable mechanisms that multiply our impact across many organizations simultaneously
- Identify patterns across partners and segments to inform what we build at the ecosystem level—MCPs, evals, reference implementations, and shared infrastructure
- Collaborate with Product and Engineering to surface partner needs, influence roadmap, and ensure learnings from the field shape how Claude evolves
- Represent Anthropic externally with senior leaders at foundations, nonprofits, research institutions, and government-adjacent organizations
- Travel to partner sites globally for workshops, technical deep dives, and relationship building
- Help shape team processes and culture as Beneficial Deployments scales, and contribute to the broader Applied AI leadership community at Anthropic
- Travel is 30-40% due to the global nature of the team (SF, NYC, London and Bengaluru) and events across Beneficial Deployments.
You may be a good fit if you have
- 10+ years of experience in technical, customer-facing roles (Solutions Architect, Forward Deployed Engineer, Customer Engineer, Sales Engineer, or similar), with meaningful exposure to complex, high-stakes deployments
- 7+ years of engineering or technical leadership experience, preferably building and scaling customer-facing or forward-deployed teams globally
- Experience working with or inside mission-driven organizations—education, healthcare, scientific research, global development, or nonprofits—and a genuine understanding of the constraints, incentives, and operating realities of these sectors
- Familiarity with common LLM implementation patterns, including prompt engineering, evaluation frameworks, agent frameworks, and retrieval systems; working knowledge of Python
- A track record of building teams in ambiguous, fast-moving environments, and comfort wearing multiple hats as the team scales
- Strong executive presence and the ability to foster deep, trusted relationships with senior partner leadership
- Excellent communication, collaboration, and coaching abilities, with a love of teaching and helping others succeed
- The ability to think holistically, identify core principles that translate across scenarios, and make ambiguous problems clear
- A passion for making powerful technology safe and societally beneficial, and for thinking creatively about risks and benefits beyond existing playbooks
Strong candidates may also have
- Experience leading globally distributed teams across time zones and regions
- Background in philanthropy, global health, education technology, or scientific research
- Experience designing cohort-based or programmatic delivery models that scale technical expertise across many organizations
- A working understanding of emerging research in agents, evaluations, and AI safety
About The Team
Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences, focusing on raising the floor for the people and institutions working on humanity's hardest problems.
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
$315,000—$380,000 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 the Global Leader of Applied AI Architects for Beneficial Deployments, you will lead the team of Applied AI Architects who serve as the primary technical partners to mission-driven organizations and non-profits adopting Claude. You'll build and scale a world-class, globally distributed team that turns frontier AI into real impact in education, global health, economic mobility, and life sciences—while shaping how Anthropic's most important societal partnerships are designed and delivered. You'll combine deep technical fluency with the leadership judgment needed to operate across segments, regions, and partner types—from global health foundations to leading research institutions to frontline nonprofits. You'll set the vision for how we scale our expertise from a handful of flagship partnerships to an ecosystem of organizations operating as AI-native, and you'll be accountable for the team, processes, and cross-functional relationships that make that possible. In collaboration with Beneficial Deployment’s Head of Nonprofits, Product, Engineering, Policy, and our broader GTM organization, you'll help ensure our partners incorporate Claude into their work responsibly, effectively, and in ways that meaningfully accelerate their missions. You'll represent Anthropic as a senior technical leader on some of our most visible and consequential partnerships, while maintaining our best-in-class safety standards.
Responsibilities
- Lead, grow, and mentor a globally distributed team of Architects supporting mission-driven non-profits across education, global health, economic mobility, and life sciences
- Set the vision, strategy, and operating model for how Applied AI shows up in Beneficial Deployments—from discovery through deployment, and from individual partnerships to ecosystem-wide infrastructure
- Establish hiring plans, team structure, and career development paths as we scale the team globally; set goals and reviews that promote growth, output, and a high bar for technical excellence
- Partner closely with segment leads and senior partner leadership to understand requirements and shape engagements on our highest-impact partnerships
- Drive the design of cohort-based accelerators, Claude Code enablement programs, and other scalable mechanisms that multiply our impact across many organizations simultaneously
- Identify patterns across partners and segments to inform what we build at the ecosystem level—MCPs, evals, reference implementations, and shared infrastructure
- Collaborate with Product and Engineering to surface partner needs, influence roadmap, and ensure learnings from the field shape how Claude evolves
- Represent Anthropic externally with senior leaders at foundations, nonprofits, research institutions, and government-adjacent organizations
- Travel to partner sites globally for workshops, technical deep dives, and relationship building
- Help shape team processes and culture as Beneficial Deployments scales, and contribute to the broader Applied AI leadership community at Anthropic
- Travel is 30-40% due to the global nature of the team (SF, NYC, London and Bengaluru) and events across Beneficial Deployments.
You may be a good fit if you have
- 10+ years of experience in technical, customer-facing roles (Solutions Architect, Forward Deployed Engineer, Customer Engineer, Sales Engineer, or similar), with meaningful exposure to complex, high-stakes deployments
- 7+ years of engineering or technical leadership experience, preferably building and scaling customer-facing or forward-deployed teams globally
- Experience working with or inside mission-driven organizations—education, healthcare, scientific research, global development, or nonprofits—and a genuine understanding of the constraints, incentives, and operating realities of these sectors
- Familiarity with common LLM implementation patterns, including prompt engineering, evaluation frameworks, agent frameworks, and retrieval systems; working knowledge of Python
- A track record of building teams in ambiguous, fast-moving environments, and comfort wearing multiple hats as the team scales
- Strong executive presence and the ability to foster deep, trusted relationships with senior partner leadership
- Excellent communication, collaboration, and coaching abilities, with a love of teaching and helping others succeed
- The ability to think holistically, identify core principles that translate across scenarios, and make ambiguous problems clear
- A passion for making powerful technology safe and societally beneficial, and for thinking creatively about risks and benefits beyond existing playbooks
Strong candidates may also have
- Experience leading globally distributed teams across time zones and regions
- Background in philanthropy, global health, education technology, or scientific research
- Experience designing cohort-based or programmatic delivery models that scale technical expertise across many organizations
- A working understanding of emerging research in agents, evaluations, and AI safety
About The Team
Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences, focusing on raising the floor for the people and institutions working on humanity's hardest problems.
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
$315,000—$380,000 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 34+ AI Engineer Jobs at Anthropic
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Engineer Jobs at Anthropic.
Get Access To All JobsTips for Finding AI Engineer Jobs at Anthropic
Align your portfolio to safety research
Anthropic evaluates AI Engineers partly on interpretability and alignment work, not just model performance. Publishing or contributing to safety-adjacent research before applying signals you understand the mission and strengthens your specialty occupation case for H-1B or E-3.
Clarify sponsorship scope before accepting
Some offers cover H-1B filing but exclude premium processing or Green Card sponsorship timelines. Get written clarity on what Anthropic's immigration support includes so you're not caught off guard after you've already transitioned status.
Request early LCA filing from your recruiter
The Labor Condition Application must be certified by DOL before your visa petition can be filed. If your start date is firm, ask Anthropic's immigration team to initiate the LCA as soon as your offer is countersigned to avoid timeline compression.
Target roles that match your exact degree field
Anthropic posts AI Engineer roles under multiple specializations. USCIS requires a direct nexus between your degree field and the role. A machine learning engineer role supported by a computer science or statistics degree is clean; a general engineering degree may need supplemental evidence.
Use Migrate Mate to filter verified sponsoring roles
Not every Anthropic job listing signals visa sponsorship equally. Use Migrate Mate to surface AI Engineer roles at Anthropic confirmed through DOL disclosure data, so you're applying to positions where sponsorship is already established practice.
Prepare for a cap-subject H-1B if you're on OPT
If you're currently on F-1 OPT, Anthropic's H-1B petition is subject to the annual cap and lottery, with a registration window each March. Missing that window means waiting a full year, so align your job search and offer timing accordingly.
Frequently Asked Questions
Does Anthropic sponsor H-1B visas for AI Engineers?
Yes, Anthropic sponsors H-1B visas for AI Engineers and has a consistent record of doing so across its research and product functions. If you're applying from F-1 OPT or another nonimmigrant status, confirm with the recruiter early whether your specific role is included in their standard sponsorship program and whether premium processing is available.
How do I apply for AI Engineer jobs at Anthropic?
Applications go through Anthropic's careers portal. The process typically involves a recruiter screen, technical assessments focused on ML fundamentals and systems design, and multiple rounds with research and engineering teams. If you need visa sponsorship, flag it before the final round so Anthropic's immigration team can assess your situation alongside the offer.
Which visa types does Anthropic commonly use for AI Engineers?
Anthropic sponsors H-1B visas for most international AI Engineer hires. Australian citizens can pursue the E-3 visa, which avoids the H-1B lottery entirely and follows a simpler consular process. Candidates from Singapore or Chile may qualify for the H-1B1 visa. All three require a qualifying specialty occupation and an employer-filed Labor Condition Application with DOL.
What qualifications does Anthropic expect for AI Engineer roles?
Most AI Engineer postings at Anthropic expect a bachelor's degree or higher in computer science, machine learning, or a closely related field, plus hands-on experience with large language models, distributed training, or safety evaluation frameworks. Research publications or open-source contributions to alignment or interpretability work carry meaningful weight in their review process.
How do I find AI Engineer roles at Anthropic that include visa sponsorship?
Individual job postings don't always make sponsorship terms explicit. Migrate Mate aggregates AI Engineer roles at companies like Anthropic using DOL disclosure data to surface positions where sponsorship is verified, so you spend less time guessing and more time applying to roles where your visa situation is already accounted for.