Enterprise Application AI Architect

Gusto Gusto · Fintech · ON +3 · Remote · Engineering

This role focuses on integrating AI and automation into Gusto's enterprise applications, specifically designing and managing AI agents and Model Context Protocols (MCPs) to make internal systems smarter and more autonomous. The goal is to transform reactive workflows into predictive, self-improving platforms, ensuring security, compliance, and measurable impact within the IT and Enterprise Applications organization.

What you'd actually do

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.

Skills

Required

  • 8+ years in Business Systems Analysis, Enterprise Applications, or Automation roles
  • Demonstrated experience building and maintaining integrations across systems such as Jira, NetSuite, or similar
  • Hands-on knowledge of AI agent frameworks (for example LangChain, CrewAI, Semantic Kernel, MCP)
  • experience designing or maintaining Model Context Protocols or equivalent frameworks
  • Familiarity with leading LLM platforms (OpenAI, Anthropic, Gemini etc.)
  • practical experience with prompt engineering
  • Proficiency in Python or JavaScript for automation, orchestration, and building modular, scalable AI workflows
  • Strong documentation, analytical, and stakeholder communication skills
  • Passion for building secure, compliant, and explainable AI systems
  • embedding risk, privacy, and compliance considerations (including SOX and audit controls) into every solution

Nice to have

  • APIs
  • JSON
  • RESTful service design
  • growth mindset
  • focus on clarity, iteration, and measurable outcomes

What the JD emphasized

  • SOX compliance
  • audit controls
  • security standards

Other signals

  • designing Model Context Protocols (MCPs) and AI agents
  • shift our ERP and Finance systems from reactive workflows to predictive, context aware, and self improving platforms
  • operationalize AI within enterprise workflows