Agentic Operations Architect (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Location: United States — Denver, CO (hybrid); Las Vegas, NV (remote); New York, NY; Phoenix, AZ (remote); San Francisco, CA (hybrid). Employees based in Denver, San Francisco, or New York work from the office approximately 2–3 days per week or more depending on the role.
Salary: $168,420–$210,525 per year in Denver and most major metropolitan locations; $197,895–$247,369 per year in San Francisco and New York.
Company
provides payroll, health insurance, 401(k), and HR products for more than 500,000 small businesses.
What you will do
- Design reusable patterns for agentic service workflows, orchestration, human-in-the-loop protocols, escalation logic, overrides, and quality safeguards.
- Set practical standards and selectively prototype workflows to validate capabilities, identify gaps, and create reusable components.
- Influence Product and Engineering priorities by turning builder bottlenecks into evidence-based platform requirements.
- Prioritize automation opportunities using volume, risk, customer impact, SOPs, operational metrics, and interaction data.
- Define consistent workflow performance metrics with Data and distinguish regressions from normal variation.
- Bring customer impact and risk considerations into Legal, Security, Compliance, and platform reviews, and report portfolio performance to senior stakeholders.
Requirements
- 8+ years of experience in operations, product, or AI roles, including at least 2 years designing and deploying AI-assisted or agentic workflows in production.
- Hands-on experience with agentic tooling, orchestration frameworks, MCP-style integrations, and multi-agent coordination.
- Strong knowledge of LLM systems, prompt design, evaluation, and model behavior at scale.
- Experience designing human-in-the-loop systems with escalation logic, override controls, and compliance-aware checkpoints.
- Ability to define and diagnose workflow metrics such as solve rate, assist rate, containment, and escalation quality.
- Experience influencing Product, Engineering, Legal, Security, and Compliance, plus familiarity with responsible AI, governance, and production risk management.
Nice to have
- Experience with RAG architectures and retrieval quality optimization.
- Ability to assess data structures, data quality, and governance for reliable agentic performance.
- Experience in SaaS, fintech, or regulated environments.
- Exposure to AI governance or safety-oriented review processes.
Culture & Benefits
- Full-time employees receive base pay, benefits, and equity in the form of RSUs.
- AI tools are an integral part of how work is performed, with expectations to build role-relevant AI fluency.
- Hybrid employees need a secure, reliable, and consistent internet connection when working outside the office.
- supports an inclusive workplace and provides reasonable accommodations during the hiring process.
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