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Gusto is seeking an Enterprise Application AI Architect to lead the integration of AI and automation across its enterprise applications ecosystem. This is a new role within the Enterprise AIT team, reporting to leadership focused on intelligent transformation of internal systems.
You will partner closely with Product, Engineering, Finance, People Tech, and Operations to design and implement AI-driven solutions that transform enterprise workflows. Key responsibilities include:
• Translate business needs into AI workflows by identifying automation opportunities and designing agentic workflows that improve decision-making and reduce manual effort across Finance and Business Operations.
• Develop and maintain Model Context Protocols (MCPs) that securely connect enterprise systems such as NetSuite, Zuora, and Jira to AI agents, with comprehensive documentation and optimization.
• Create and manage intelligent agents that execute or augment core enterprise processes including 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.
• Enable the organization by partnering with IT and Security to build reusable AI frameworks, coach teams on safe AI-driven workflows, and champion AI-first practices.
Required qualifications: 8+ years in Business Systems Analysis, Enterprise Applications, or Automation roles with a track record of delivering impact in complex environments. Demonstrated experience building integrations across systems like Jira or NetSuite with strong grasp of APIs, JSON, and RESTful design. Hands-on knowledge of AI agent frameworks (LangChain, CrewAI, Semantic Kernel, MCP) and experience designing or maintaining Model Context Protocols. Familiarity with leading LLM platforms (OpenAI, Anthropic, Gemini) and practical prompt engineering experience. Proficiency in Python or JavaScript for automation and orchestration. Strong documentation, analytical, and stakeholder communication skills.
