Enterprise Application AI Architect
Gusto is a payroll and HR platform that helps small businesses pay domestic and international employees, manage benefits, and automate compliance.
Projects
About Gusto
Gusto serves small and mid-sized businesses with payroll processing, employee benefits administration, and HR tools in one platform. Users can run payroll, manage health insurance, hire globally, and pay international contractors in local currency or USDC stablecoins. The platform automates payroll tax filings across multiple states and integrates with tools like QuickBooks and Xero.
Skills
About the Role
As the Enterprise Applications AI Architect, you will lead the integration of AI and automation across Gusto's enterprise applications ecosystem. You will translate business needs into AI workflows, develop and maintain Model Context Protocols connecting systems like NetSuite, Zuora, and Jira to AI agents, and create intelligent agents that execute or augment core enterprise processes. You will govern the full lifecycle of MCPs and agents, measure and optimize impact through KPIs, and enable the organization by building reusable AI frameworks and coaching teams on safe and effective AI-driven workflows.
Requirements
- 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, with strong grasp of APIs, JSON, and RESTful service 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 experience with prompt engineering
- Proficiency in Python or JavaScript for automation, orchestration, and building scalable AI workflows
- Strong documentation, analytical, and stakeholder communication skills
- Passion for building secure, compliant, and explainable AI systems including SOX and audit controls
Responsibilities
- Translate business needs into AI workflows by identifying automation opportunities and designing agentic workflows
- Develop and maintain Model Context Protocols connecting enterprise systems to AI agents
- Create and manage intelligent agents that execute or augment core enterprise processes
- Govern the full lifecycle of MCPs and agents ensuring data governance, privacy, and security standards
- Measure and optimize impact by defining and tracking KPIs
- Build reusable AI frameworks and coach teams on safe and effective AI-driven workflows
Benefits
- Health insurance
- 401(k)
- Equity (RSUs)
- Remote work options
