Remote AI Agent Designer — Shape Global Workflows

Global Payments

Cincinnati (OH)

Híbrido

USD 120.000 - 180.000

Jornada completa

Hace 6 días
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Descripción de la vacante

Global Payments is seeking an AI Agent Designer to shape the future of AI-enabled work across a global enterprise. You will design AI-powered workflows and autonomous agent experiences, partnering with senior leaders to translate business challenges into scalable agentic solutions.

You’ll lead discovery workshops, map complex processes, and evaluate AI technologies while helping define future-state ways of working and success metrics for engineering teams.

Formación

  • 5+ years in business analysis, product management, or related roles.
  • Ability to analyze complex processes and translate to requirements.
  • Experience facilitating with senior leaders.
  • Experience with AI, automation, or data-driven tech.
  • Knowledge of payments/fintech is a bonus.
  • Familiarity with LLMs, prompt engineering, or AI product development.

Responsabilidades

  • Design AI-powered workflows and autonomous agent experiences.
  • Partner with business leaders to identify high-value opportunities.
  • Create agent blueprints, workflow designs, requirements, and success metrics.
  • Lead AI discovery workshops and map cross-functional processes.
  • Evaluate emerging AI technologies and architectures.
  • Help shape the company's vision for AI-enabled work.

Conocimientos

Business analysis
Product management
Process design
Solution design
Stakeholder management
AI / automation
Communication
Storytelling
Problem solving

Herramientas

AI technologies
Workflow platforms
RAG architectures
Knowledge management

Descripción del empleo

Global Payments is seeking an AI Agent Designer to shape the future of AI-enabled work across a global enterprise. You will design AI-powered workflows and autonomous agent experiences, partnering with senior leaders to translate business challenges into scalable agentic solutions.

You’ll lead discovery workshops, map complex processes, and evaluate AI technologies while helping define future-state ways of working and success metrics for engineering teams.

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