Finance Systems Integration Engineer
San Francisco, CA | Seattle, WA
Posted 16d ago
Job Location
San Francisco, CA | Seattle, WA
Tech Stack
Remote Work Policy
On-site
Categories
Applied AI Engineer
About the job
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.
Responsibilities
- Design, build, and maintain integrations connecting ERP systems with downstream applications using iPaaS solutions.
- Support integration development and testing during ERP implementation projects.
- Develop and maintain REST APIs, webhooks, and OAuth 2.0 authentication flows.
- Implement real-time and batch integration patterns for high-volume financial transactions.
- Establish monitoring, alerting, and error-handling frameworks for integration reliability.
- Document integration architectures, data flows, API specifications, and troubleshooting procedures.
- Collaborate with implementation partners and vendors on technical integration requirements.
- Build and deploy Claude-powered AI agents to automate financial operations.
- Design agentic workflows leveraging Claude API capabilities with ERP data.
- Create automated validation and quality assurance 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 orchestration and dbt for transformation.
- Build and maintain data flows from ERP and financial systems into BigQuery.
- Implement data quality checks and testing frameworks for financial data pipelines.
- Collaborate with Data Infrastructure team on pipeline architecture, performance, and security.
- Support executive dashboards and financial analytics with timely data delivery.
- 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 and enhancements.
- Partner with Finance Operations, Accounting, FP&A, Engineering, and Data Infrastructure teams.
Requirements
- 8+ years of experience in integration development, data engineering, or systems engineering.
- Hands-on experience with iPaaS platforms (Workato, MuleSoft, Dell Boomi, or similar).
- Strong programming skills in Python and/or JavaScript/TypeScript.
- Experience with data pipeline tools (Airflow, dbt).
- Working knowledge of cloud data platforms (BigQuery, Snowflake, Databricks).
- Understanding of REST API design patterns, webhooks, OAuth 2.0.
- Familiarity with ERP systems (Oracle Fusion, Workday Financials, or similar) and financial business processes.
- Strong problem-solving skills for debugging complex integration issues.
- Ability to thrive in a fast-paced, high-growth environment.
- Excellent communication skills for collaborating with technical and business stakeholders.
- Experience with high-growth technology companies scaling rapidly.
- Background in AI/ML companies with familiarity in modern SaaS business models.