AI Solutions Architect

Gusto Gusto · Fintech · Chicago, IL +2 · Remote · Customer Experience

The AI Solutions Architect will design, prototype, deploy, and continuously improve AI-driven agentic workflows for service operations at Gusto. This role involves architecting end-to-end agentic service workflow frameworks, designing multi-agent orchestration patterns, and influencing AI platform capabilities. The architect will also ensure AI governance, translate CX quality stakes, and strengthen evaluation frameworks, working closely with Engineering, CX, Legal, and Compliance.

What you'd actually do

  1. Architect, prototype, and own end-to-end agentic service workflow frameworks, from scoping through production deployment and iteration — including solve and assist targets, HITL protocols, override logic, and downstream quality safeguards
  2. Design and implement multi-agent orchestration patterns across tools, data sources, and decision steps within a single end-to-end workflow
  3. Apply and influence AI platform capabilities in partnership with CoreX (Gusto's AI Platform team) — including orchestration, retrieval, and evaluation — helping define what needs to be built to support production workflows at scale
  4. Serve as the primary CX voice in Legal, Security, Compliance, and CoreX forums — translating CX quality stakes and workflow risk into terms each audience acts on, and ensuring governance requirements are embedded in design, not retrofitted after launch
  5. Strengthen evaluation frameworks and feedback loops to ensure quality, compliance, and continuous improvement; contribute to Gusto's human evaluation programs and AI governance practices through deep partnership with our internal CX Labs team

Skills

Required

  • 8+ years in operations, product, or AI roles — with at least 2 years designing and deploying AI-assisted or agentic workflows
  • Strong fluency with LLM systems, including prompt design, evaluation, and production behavior at scale
  • Hands-on experience with agentic tooling, orchestration frameworks, or MCP-style integrations
  • Experience designing human-in-the-loop (HITL) systems with clear escalation logic, override controls, and compliance-aware checkpoints
  • Working knowledge of multi-agent systems and tool coordination
  • Strong operational judgment: able to define and diagnose workflow metrics
  • Proven track record influencing cross-functional stakeholders — including Product, Engineering, Legal, Security, and Compliance — in writing, in design reviews, and in high-stakes forums
  • Familiarity with Responsible AI practices, governance, and risk management in production environments
  • Proven ability to operate in high ambiguity, create clarity, and drive alignment across technical and non-technical audiences
  • Strong systems thinking with a bias toward execution and measurable outcomes
  • Deep empathy for small business customers and the employees who serve them

What the JD emphasized

  • designing and deploying AI-assisted or agentic workflows
  • Hands-on experience with agentic tooling, orchestration frameworks, or MCP-style integrations — conceptual familiarity is not sufficient at this level
  • AI governance
  • compliance
  • risk management

Other signals

  • designing and deploying AI-assisted or agentic workflows
  • LLM systems, including prompt design, evaluation, and production behavior at scale
  • agentic tooling, orchestration frameworks
  • multi-agent orchestration patterns
  • AI governance, service quality, and operational transformation