Enterprise Application AI Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Location: San Francisco, CA — hybrid, with office attendance approximately 2–3 days per week. The San Francisco office expectation covers the San Francisco and San Jose metro areas. Approved work from other locations requires a secure, reliable, and consistent internet connection.
Salary: $225,000–$250,000 per year in San Francisco, Seattle, and New York; $185,000–$205,000 per year in Denver and most remote locations.
Company
provides payroll, health insurance, 401(k), and HR solutions for more than 500,000 small businesses.
What you will do
- Translate Finance and Business Operations needs into AI workflows and agentic automation.
- Develop and maintain Model Context Protocols connecting NetSuite, Zuora, Jira, and other enterprise systems to AI agents.
- Create intelligent agents for onboarding, billing support, compliance monitoring, and related enterprise processes.
- Govern the lifecycle of MCPs and agents while maintaining data governance, privacy, security, SOX compliance, auditability, and access controls.
- Define and track KPIs for automation adoption, efficiency, accuracy, reliability, and cost performance.
- Partner with IT, Security, and business stakeholders to build reusable AI frameworks and promote safe AI-enabled workflows.
Requirements
- 8+ years of experience in Business Systems Analysis, Enterprise Applications, or Automation roles.
- Experience building and maintaining integrations using APIs, JSON, and RESTful services, including systems such as Jira or NetSuite.
- Hands-on experience with AI agent frameworks such as LangChain, CrewAI, Semantic Kernel, or MCP.
- Familiarity with OpenAI, Anthropic, Gemini, or similar LLM platforms and practical prompt engineering experience.
- Proficiency in Python or JavaScript for automation, orchestration, and scalable AI workflow development.
- Strong documentation, analytical, stakeholder communication, security, privacy, compliance, and audit-control skills.
Culture & Benefits
- Full-time employees receive competitive base pay, benefits, and RSU equity.
- AI tools are incorporated into day-to-day work, with expectations to build AI fluency.
- Work is coordinated across Finance, Business Operations, IT, Security, Product, Engineering, People Tech, and Operations.
- Designated office days apply to employees based in office locations.
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