Agentic Operations Architect

About the Role:

As an Agentic Operations Architect, you will own the reusable capabilities that make agentic service workflows possible, the patterns, primitives, standards, and tooling that other builders across the org use to automate discrete customer problems. You are not the owner of any single workflow. You are the reason a workflow that took six weeks takes two, and the reason the tenth one is safer than the first. You will prototype workflows yourself, but as a means to an end: to prove a pattern is sound, to find out what builders are missing, and to earn the right to set a standard.

About the Team:

The mission of our Service Transformation (CXT) team is to quickly evolve and scale how Gusto delivers outstanding service experiences and leverages AI to do so. Our team designs the systems, governance frameworks, and feedback loops that allow Gusto's service model to improve continuously, operate reliably, and earn the trust of the customers and employees who depend on it.

Here’s what you’ll do day-to-day:

Build the patterns

• Design the reusable patterns for agentic service workflows, orchestration, HITL protocols, override and escalation logic, quality safeguards, so builders assemble from proven components
• Set the standards builders work to, concrete enough to apply without you in the room
• Prototype workflows selectively: to validate a pattern, expose a gap, or unblock a hard problem, then extract the reusable part and hand it off
• Pull learnings from every build back into the shared patterns, so each one is faster and safer than the last

Shape the platform

• Influence Product on what to build next: turn what's slowing builders down into specific, prioritized asks backed by evidence
• Prototype around gaps the platform doesn't cover yet, proving a capability is worth building before USP invests
• Be honest in both directions about the distance between what builders need and what exists

Point capacity at the right problems

• Rank automation opportunities by volume, risk, and customer impact, mining SOPs, operational metrics, and interaction data, to determine what gets built and where builders go
• Work with Data to define how workflow performance gets measured, so every builder measures the same way
• Identify where there are processes which exist which should not be automated

Carry the quality stakes

• Bring what's at stake for customers into Legal, Security, Compliance, and platform reviews, so requirements land in the patterns instead of getting retrofitted per workflow
• Represent how the portfolio is performing to senior stakeholders, briefly, and in a way that drives action

Here’s what we're looking for:

• 8+ years in operations, product, or AI roles — with at least 2 years designing and deploying AI-assisted or agentic workflows in production
• Hands-on experience with agentic tooling, orchestration frameworks, or MCP-style integrations, including multi-agent coordination — conceptual familiarity is not sufficient at this level
• Strong fluency with LLM systems: prompt design, evaluation, and how models actually behave at scale
• Experience designing human-in-the-loop systems with clear escalation logic, override controls, and compliance-aware checkpoints
• Ability to define and diagnose workflow metrics — solve and assist rate, containment, escalation quality — and to tell a real regression from noise
• Proven track record influencing 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
• Prior experience in a function being actively redefined — you have built the plane while flying it before

Strongly preferred

• Experience with RAG architectures and retrieval quality optimization
• Ability to assess whether underlying data structures, quality, and governance can support reliable agentic performance
• Experience in SaaS, fintech, or regulated environments where compliance constraints are real
• Exposure to AI governance or safety-oriented review processes

Our cash compensation amount for this role is $168,420/yr to $210,525/yr in Denver & most major metro locations, and $197,895/yr to $247,369/yr for San Francisco & New York. Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above.