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Finance Systems Integration Engineer

Job in Seattle, King County, Washington, 98127, USA
Listing for: anthropic
Full Time position
Listed on 2026-09-09
Job specializations:
  • Software Development
    Data Engineering
Salary/Wage Range or Industry Benchmark: 205000 - 265000 USD Yearly USD 205000.00 265000.00 YEAR
Job Description & How to Apply Below

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.

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, Mule Soft, 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
  • 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 Big Query 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, Mule Soft, Dell Boomi, or similar integration tools
  • Demonstrate experience with data pipeline tools including Airflow for orchestration and dbt for transformation
  • Have working knowledge of cloud data platforms such as Big Query, 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…
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