AI Engineer Jobs at Anthropic with Visa Sponsorship
Anthropic hires AI Engineers to build and evaluate 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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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 a member of the Applied AI team at Anthropic, you will be a technical Product Engineer focused on becoming a trusted technical advisor to Digital Native Businesses - technology companies adopting the Claude API into their core products. You will work closely with customer product and engineering teams as they ship new products powered by Claude: advising on architecture design decisions, developing evaluation frameworks, and guiding customers through the most cutting-edge implementation patterns for LLMs. Working closely with our Sales, Product, and Engineering teams, you'll guide a focused portfolio of customers from technical discovery through successful deployment. You'll combine deep engineering expertise with customer-facing skills to help customers unlock the full potential of Claude APIs and move their products closer to the frontier, while maintaining our high standards for safety and reliability.
Responsibilities
- Serve as a specialist technical advisor to Anthropic customers as they deploy new products & workflows with our models: from discovery through deployment, coordinating internally across multiple teams to drive customer success
- Partner with account executives and solutions architects to translate customer business requirements into technical solutions
- Influence technical architecture decisions and customer product strategy by developing customized pilots, prototypes, and evaluation suites
- Lead hands-on technical workshops and code reviews with customer engineering teams
- Identify common design patterns and contribute insights back to our Product and Engineering teams
- Create scalable public and internal assets, documenting the latest LLM prompting, evaling, agentic, and architecture techniques
- Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks
- Travel occasionally to customer sites for workshops, implementation support, and building relationships
- Attend conferences, lead speaking engagements, write blog posts and white papers on topics surrounding the AI space
You May Be a Good Fit If You Have
- 4+ years of experience in technical roles such as Forward Deployed Engineer, Software Engineer or Technical Product Manager with a desire to work closely with customers. Former technical founders are also encouraged to apply.
- Production experience with LLMs including advanced prompt engineering, agent development and frameworks, evaluation frameworks, transcript analysis, MCP, and deployment at scale
- Strong programming skills with proficiency in Python or TypeScript and experience building production applications
- Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems
- High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity
- Passion for advancing safe, beneficial AI systems through creative technical applications
- Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach
Please note this role requires 3 days in office per week.
Deadline to apply: None. Applications will be reviewed on a rolling basis.
Annual Salary
$200,000—$320,000 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 member of the Applied AI team at Anthropic, you will be a technical Product Engineer focused on becoming a trusted technical advisor to Digital Native Businesses - technology companies adopting the Claude API into their core products. You will work closely with customer product and engineering teams as they ship new products powered by Claude: advising on architecture design decisions, developing evaluation frameworks, and guiding customers through the most cutting-edge implementation patterns for LLMs. Working closely with our Sales, Product, and Engineering teams, you'll guide a focused portfolio of customers from technical discovery through successful deployment. You'll combine deep engineering expertise with customer-facing skills to help customers unlock the full potential of Claude APIs and move their products closer to the frontier, while maintaining our high standards for safety and reliability.
Responsibilities
- Serve as a specialist technical advisor to Anthropic customers as they deploy new products & workflows with our models: from discovery through deployment, coordinating internally across multiple teams to drive customer success
- Partner with account executives and solutions architects to translate customer business requirements into technical solutions
- Influence technical architecture decisions and customer product strategy by developing customized pilots, prototypes, and evaluation suites
- Lead hands-on technical workshops and code reviews with customer engineering teams
- Identify common design patterns and contribute insights back to our Product and Engineering teams
- Create scalable public and internal assets, documenting the latest LLM prompting, evaling, agentic, and architecture techniques
- Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks
- Travel occasionally to customer sites for workshops, implementation support, and building relationships
- Attend conferences, lead speaking engagements, write blog posts and white papers on topics surrounding the AI space
You May Be a Good Fit If You Have
- 4+ years of experience in technical roles such as Forward Deployed Engineer, Software Engineer or Technical Product Manager with a desire to work closely with customers. Former technical founders are also encouraged to apply.
- Production experience with LLMs including advanced prompt engineering, agent development and frameworks, evaluation frameworks, transcript analysis, MCP, and deployment at scale
- Strong programming skills with proficiency in Python or TypeScript and experience building production applications
- Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems
- High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity
- Passion for advancing safe, beneficial AI systems through creative technical applications
- Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach
Please note this role requires 3 days in office per week.
Deadline to apply: None. Applications will be reviewed on a rolling basis.
Annual Salary
$200,000—$320,000 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 74+ AI Engineer at Anthropic jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Engineer at Anthropic roles.
Get Access To All JobsTips for Finding AI Engineer Jobs at Anthropic Jobs
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.
AI Engineer at Anthropic jobs are hiring across the US. Find yours.
Find AI Engineer at Anthropic JobsFrequently 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, which avoids the H-1B lottery entirely and follows a simpler consular process. Candidates from Singapore or Chile may qualify for the H-1B1. 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.
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