Systems Engineer Jobs at Anthropic with Visa Sponsorship
Systems Engineer jobs at Anthropic sit at the intersection of large-scale infrastructure and frontier AI research, requiring deep experience with distributed systems, reliability engineering, and production environments. Anthropic sponsors multiple work visa categories for this function, making it a realistic target for international candidates with the right technical background.
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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
We are seeking an experienced Finance Systems Integration Engineer to support our finance systems transformation at one of the fastest-growing AI companies. You'll design and build integrations connecting our ERP platform with critical financial applications and support our ERP implementation initiatives. As you master our integration landscape, you'll have opportunities to expand into Claude-powered AI automation and data pipeline development. You'll build the integration backbone for one of the fastest-growing AI companies, with a front-row seat to how Claude transforms financial operations. This is a foundational role where you'll shape our integration architecture from the ground up, then expand into cutting-edge AI automation as our needs evolve. You'll work alongside teams building frontier AI systems while directly applying that technology to solve real financial operations challenges.
In This Role You Will
Core Focus: Integration Development & ERP Support
- Design, build, and maintain integrations connecting ERP systems with downstream applications including ZipHQ, Brex, Navan, Clearwater, Payroll systems, Salesforce, and other critical financial platforms using Workato, MuleSoft, or similar iPaaS solutions
- Support integration development and testing during the ERP implementation projects
- Develop and maintain REST APIs, webhooks, and OAuth 2.0 authentication flows for secure system-to-system communication
- Implement real-time and batch integration patterns supporting high-volume financial transactions
- Establish monitoring, alerting, and error-handling frameworks to ensure integration reliability and data integrity
- Document integration architectures, data flows, API specifications, and troubleshooting procedures
- Collaborate with implementation consulting partners and vendors on technical integration requirements
Additional Scope: AI Automation & Data Infrastructure
As you master our integration landscape, you'll have opportunities to expand into:
AI Agent Development
- Build and deploy Claude-powered AI agents that automate financial operations including intelligent document processing, workflow automation, financial audit and reconciliations, and self-service reporting
- Design agentic workflows that leverage Claude API capabilities integrated with ERP platform data and processes
- Create automated validation and quality assurance processes for AI-generated outputs
- Partner with Finance teams to identify automation opportunities and translate requirements into AI agent solutions
Data Pipeline Support
- Support data pipeline development using Airflow for workflow orchestration and dbt for data transformation
- Build and maintain data flows from ERP and other financial systems into BigQuery for analytics and reporting
- Implement data quality checks and testing frameworks for financial data pipelines
- Collaborate with Data Infrastructure team on pipeline architecture, performance optimization, and security monitoring
- Support executive dashboards and financial analytics by ensuring timely, accurate data delivery
Governance & Collaboration
- Maintain comprehensive documentation for integrations, AI agents, and data pipelines
- Support internal and external audits with technical evidence and system access reviews
- Collaborate with Finance Systems Engineers on operational support, troubleshooting, and enhancement requests
- Partner with Finance Operations, Accounting, FP&A, Engineering, and Data Infrastructure teams to deliver holistic solutions
You May Be a Good Fit If You
- Have 8+ years of experience in integration development, data engineering, or systems engineering roles
- Possess hands-on experience with iPaaS platforms such as Workato, MuleSoft, Dell Boomi, or similar integration tools
- Have strong programming skills in Python and/or JavaScript/TypeScript for building custom integrations, APIs, and automation scripts
- Demonstrate experience with data pipeline tools including Airflow for orchestration and dbt for transformation
- Have working knowledge of cloud data platforms such as BigQuery, Snowflake, or Databricks
- Understand REST API design patterns, webhooks, OAuth 2.0, and modern integration architectures
- Have familiarity with ERP systems (Oracle Fusion, Workday Financials, or similar) and financial business processes
- Possess strong problem-solving skills with ability to debug complex integration issues across multiple systems
- Thrive in a fast-paced, high-growth environment balancing innovation with operational stability
- Have excellent communication skills to collaborate with technical and business stakeholders
Strong Candidates May Also Have
- Experience with high-growth technology companies scaling through rapid revenue expansion (5x-10x growth)
- Background in AI/ML companies with familiarity in modern SaaS business models including consumption-based pricing, usage metering platforms, and marketplace billing
- Hands-on experience with specific platforms: Workday Financials (Workday Studio, EIB, custom reports, Prism Analytics)
- Technical expertise with modern finance tech stack including Stripe, Salesforce, Zuora RevPro, Zip Procurement, Clearwater treasury systems, Pigment planning tools, Numeric close management
- Programming skills in Python / JavaScript, or similar languages for building custom integrations, APIs, and automation scripts
- Experience with AI/LLM integration for financial operations, including document processing, data extraction, intelligent automation, and agentic workflows (familiarity with Claude models and API is a plus)
- Hands-on experience with modern data stack tools: BigQuery/Snowflake/Databricks, dbt for data transformation, Airflow for workflow orchestration
- Professional certifications such as Workato, Workday integrations, or relevant technical credentials
- Bachelor's or Master's degree in Computer Science, Information Systems, Accounting, Finance, Engineering, or related technical/business field
- Experience with business intelligence and financial reporting tools (Hex, Looker, Tableau, Power BI) for executive dashboards and financial analytics
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
$205,000—$270,000 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
We are seeking an experienced Finance Systems Integration Engineer to support our finance systems transformation at one of the fastest-growing AI companies. You'll design and build integrations connecting our ERP platform with critical financial applications and support our ERP implementation initiatives. As you master our integration landscape, you'll have opportunities to expand into Claude-powered AI automation and data pipeline development. You'll build the integration backbone for one of the fastest-growing AI companies, with a front-row seat to how Claude transforms financial operations. This is a foundational role where you'll shape our integration architecture from the ground up, then expand into cutting-edge AI automation as our needs evolve. You'll work alongside teams building frontier AI systems while directly applying that technology to solve real financial operations challenges.
In This Role You Will
Core Focus: Integration Development & ERP Support
- Design, build, and maintain integrations connecting ERP systems with downstream applications including ZipHQ, Brex, Navan, Clearwater, Payroll systems, Salesforce, and other critical financial platforms using Workato, MuleSoft, or similar iPaaS solutions
- Support integration development and testing during the ERP implementation projects
- Develop and maintain REST APIs, webhooks, and OAuth 2.0 authentication flows for secure system-to-system communication
- Implement real-time and batch integration patterns supporting high-volume financial transactions
- Establish monitoring, alerting, and error-handling frameworks to ensure integration reliability and data integrity
- Document integration architectures, data flows, API specifications, and troubleshooting procedures
- Collaborate with implementation consulting partners and vendors on technical integration requirements
Additional Scope: AI Automation & Data Infrastructure
As you master our integration landscape, you'll have opportunities to expand into:
AI Agent Development
- Build and deploy Claude-powered AI agents that automate financial operations including intelligent document processing, workflow automation, financial audit and reconciliations, and self-service reporting
- Design agentic workflows that leverage Claude API capabilities integrated with ERP platform data and processes
- Create automated validation and quality assurance processes for AI-generated outputs
- Partner with Finance teams to identify automation opportunities and translate requirements into AI agent solutions
Data Pipeline Support
- Support data pipeline development using Airflow for workflow orchestration and dbt for data transformation
- Build and maintain data flows from ERP and other financial systems into BigQuery for analytics and reporting
- Implement data quality checks and testing frameworks for financial data pipelines
- Collaborate with Data Infrastructure team on pipeline architecture, performance optimization, and security monitoring
- Support executive dashboards and financial analytics by ensuring timely, accurate data delivery
Governance & Collaboration
- Maintain comprehensive documentation for integrations, AI agents, and data pipelines
- Support internal and external audits with technical evidence and system access reviews
- Collaborate with Finance Systems Engineers on operational support, troubleshooting, and enhancement requests
- Partner with Finance Operations, Accounting, FP&A, Engineering, and Data Infrastructure teams to deliver holistic solutions
You May Be a Good Fit If You
- Have 8+ years of experience in integration development, data engineering, or systems engineering roles
- Possess hands-on experience with iPaaS platforms such as Workato, MuleSoft, Dell Boomi, or similar integration tools
- Have strong programming skills in Python and/or JavaScript/TypeScript for building custom integrations, APIs, and automation scripts
- Demonstrate experience with data pipeline tools including Airflow for orchestration and dbt for transformation
- Have working knowledge of cloud data platforms such as BigQuery, Snowflake, or Databricks
- Understand REST API design patterns, webhooks, OAuth 2.0, and modern integration architectures
- Have familiarity with ERP systems (Oracle Fusion, Workday Financials, or similar) and financial business processes
- Possess strong problem-solving skills with ability to debug complex integration issues across multiple systems
- Thrive in a fast-paced, high-growth environment balancing innovation with operational stability
- Have excellent communication skills to collaborate with technical and business stakeholders
Strong Candidates May Also Have
- Experience with high-growth technology companies scaling through rapid revenue expansion (5x-10x growth)
- Background in AI/ML companies with familiarity in modern SaaS business models including consumption-based pricing, usage metering platforms, and marketplace billing
- Hands-on experience with specific platforms: Workday Financials (Workday Studio, EIB, custom reports, Prism Analytics)
- Technical expertise with modern finance tech stack including Stripe, Salesforce, Zuora RevPro, Zip Procurement, Clearwater treasury systems, Pigment planning tools, Numeric close management
- Programming skills in Python / JavaScript, or similar languages for building custom integrations, APIs, and automation scripts
- Experience with AI/LLM integration for financial operations, including document processing, data extraction, intelligent automation, and agentic workflows (familiarity with Claude models and API is a plus)
- Hands-on experience with modern data stack tools: BigQuery/Snowflake/Databricks, dbt for data transformation, Airflow for workflow orchestration
- Professional certifications such as Workato, Workday integrations, or relevant technical credentials
- Bachelor's or Master's degree in Computer Science, Information Systems, Accounting, Finance, Engineering, or related technical/business field
- Experience with business intelligence and financial reporting tools (Hex, Looker, Tableau, Power BI) for executive dashboards and financial analytics
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
$205,000—$270,000 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 Systems Engineer Jobs at Anthropic
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Systems Engineer Jobs at Anthropic.
Get Access To All JobsTips for Finding Systems Engineer Jobs at Anthropic
Tailor your resume to infrastructure at scale
Anthropic's Systems Engineer roles prioritize experience with distributed systems, high-availability infrastructure, and production reliability. Frame your resume around concrete outcomes: uptime improvements, latency reductions, or systems you designed that handled significant load growth.
Target Anthropic's research infrastructure teams directly
Anthropic hires Systems Engineers who support ML training pipelines and model deployment, not just traditional enterprise IT. Identify open roles that mention compute infrastructure, GPU clusters, or model serving, as these map most directly to their sponsorship-active hiring areas.
Understand which visa category fits your citizenship
Anthropic sponsors H-1B, H-1B1 visa, and E-3 visas for this role. Australian citizens should prioritize the E-3 path, which has no lottery. Singaporean and Chilean nationals qualify for H-1B1. Everyone else should plan around the H-1B annual cap and April registration window.
Get your offer timing right for H-1B filing
If you need H-1B sponsorship, your offer must be in place before the March registration window. USCIS opens H-1B registrations each March for an October 1 start date. Missing registration means waiting a full year, so align your interview timeline accordingly.
Confirm sponsorship intent early in the process
Ask the recruiter directly whether the specific Systems Engineer opening is approved for visa sponsorship before completing technical rounds. Anthropic posts roles across teams with different hiring timelines, and not every open position is cleared for H-1B filing at the same point in the process.
Use Migrate Mate to filter sponsorship-verified openings
Search Systems Engineer roles at Anthropic on Migrate Mate, which filters specifically for positions where the company has an active visa sponsorship track record. This saves time you'd otherwise spend applying to roles that aren't cleared for international candidates.
Frequently Asked Questions
Does Anthropic sponsor H-1B visas for Systems Engineers?
Yes, Anthropic sponsors H-1B visas for Systems Engineer roles. The company has a consistent track record of filing petitions for technical roles in this function. If you need H-1B sponsorship, plan around the annual cap: USCIS opens registration each March for an October 1 start date, and selection is by lottery if registrations exceed available slots.
Which visa types does Anthropic commonly use for Systems Engineer roles?
Anthropic sponsors H-1B, H-1B1 visa, and E-3 visas for Systems Engineer positions. The E-3 is available exclusively to Australian citizens and has a separate annual allocation that has never been oversubscribed, making it a more predictable path than the H-1B lottery. H-1B1 visa is available to Singaporean and Chilean nationals under trade agreements and is also cap-exempt from the general H-1B lottery.
How do I apply for Systems Engineer jobs at Anthropic?
Apply directly through Anthropic's careers page, where Systems Engineer roles are listed by team. You can also find sponsorship-verified openings on Migrate Mate, which filters for roles where Anthropic has an active sponsorship history. Before applying, confirm the specific posting is open to international candidates, since hiring approvals vary by team and budget cycle.
What qualifications does Anthropic expect for Systems Engineer roles?
Anthropic's Systems Engineer postings consistently require experience with distributed systems, Linux infrastructure, and production reliability engineering. Roles supporting ML research typically expect familiarity with compute cluster management, GPU infrastructure, or high-throughput networking. A bachelor's degree in computer science or a related engineering field is the standard baseline, though significant hands-on infrastructure experience at scale can compensate for a non-traditional academic background in some cases.
How do I plan my timeline if I need visa sponsorship to work at Anthropic?
Your timeline depends on which visa category applies to you. E-3 and H-1B1 visa applicants can typically start within a few months of receiving an offer, since these categories are not subject to the H-1B lottery. H-1B candidates must time their offer to align with the March registration window, with work authorization starting October 1 at the earliest. USCIS premium processing, currently available for H-1B petitions, can reduce adjudication time to around 15 business days once the petition is filed.