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Enterprise Application AI Architect

gusto· 38 open roles

Remote RemoteFull-time2 weeks ago
Salary
$150,000 - $205,000
Experience
Mid
Job Type
Full-time
Posted
2 weeks ago
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About This Role

The Enterprise Application AI Architect will lead the integration of AI and automation across Gusto's enterprise applications ecosystem. This role combines hands-on technical execution with strategic systems thinking, using integration fluency, AI literacy, and business empathy to create the connective tissue that allows AI to seamlessly augment enterprise operations. The architect will partner closely with various teams to bridge business needs with AI-driven solutions. The goal is to transform internal systems, making them smarter, faster, and more autonomous.

Key ResponsibilitiesAI-extracted

  • 1
    Translate business needs into AI workflows by partnering with Finance and Business Operations teams to identify automation opportunities and design agentic workflows.
  • 2
    Develop and maintain Model Context Protocols that securely and reliably connect enterprise systems to AI agents.
  • 3
    Create and manage intelligent agents that execute or augment core enterprise processes 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.
  • 5
    Measure and optimize impact by defining and tracking KPIs such as automation adoption, efficiency gains, agent accuracy, reliability, and cost performance.

RequirementsAI-extracted

  • 8+ 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 and experience designing or maintaining Model Context Protocols or equivalent frameworks.
  • Familiarity with leading LLM platforms and practical experience with prompt engineering.
  • Proficiency in Python or JavaScript for automation, orchestration, and building modular, scalable AI workflows.

Perks & BenefitsAI-extracted

Typically: Competitive base pay
Typically: Comprehensive health insurance
Typically: 401(k) or similar retirement plan
Typically: Paid time off
Typically: Equity in the form of RSUs

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