The opportunity
At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers.
What you'll do
Translate business needs into AI workflows by partnering with Finance and: Business Operations teams to identify automation opportunities and design agentic workflows that improve decision making and reduce manual effort.
Develop and maintain Model Context Protocols (MCPs) that securely and: reliably connect enterprise systems such as NetSuite, Zuora, and Jira to AI agents, with clear documentation and optimization.
Create and manage intelligent agents that execute or augment core enterprise: processes such as onboarding, billing support, and compliance monitoring using large language models and orchestration frameworks.
Govern the full lifecycle of MCPs and agents, ensuring adherence to: enterprise data governance, privacy, and security standards, including SOX compliance, auditability, and appropriate access controls.
Measure and optimize impact by defining and tracking KPIs such as automation: adoption, efficiency gains, agent accuracy, reliability, and cost performance, and using those insights to guide iteration.
Enable and influence the organization by partnering with IT, Security, and: business stakeholders to build reusable AI frameworks, coach teams on safe and effective AI driven workflows, and champion AI first practices across day to day operations.
What they're looking for
- + years in Business Systems Analysis, Enterprise Applications, or Automation: roles, with a track record of delivering impact in complex environments.
- Demonstrated experience building and maintaining integrations across systems: such as Jira, NetSuite, or similar, with a strong grasp of APIs, JSON, and RESTful service design.
- Hands-on knowledge of AI agent frameworks (for example LangChain, CrewAI,: Semantic Kernel, MCP) and experience designing or maintaining Model Context Protocols or equivalent frameworks.
- Familiarity with leading LLM platforms (OpenAI, Anthropic, Gemini etc.) and: practical experience with prompt engineering.
