Genesys Cloud Architect: AI-CX & Integrations

MatchPoint; United States; On-site; USD 90,000 - 140,000; Full time

Job summary

MatchPoint Solutions is seeking a mid-level Genesys Cloud Engineer to implement, configure, test, and deploy Genesys Cloud solutions in support of CX and AI initiatives.

Under guidance from senior engineers, you will enhance platforms, automate processes, and ensure quality and deployment standards are met. This role emphasizes integration work, API usage, and ongoing platform optimization.

Qualifications

• Experience with Genesys Cloud CX administration, configuration, and implementation.
• Knowledge of APIs, integrations, and cloud-based platforms.
• Experience supporting CI/CD pipelines and automated deployment processes.
• Familiarity with AI-enabled contact center technologies and virtual agents.
• Understanding of software development lifecycle and testing practices.

Responsibilities

• Configure, deploy, and support Genesys Cloud CX components including flows and AI-enabled capabilities.
• Build and maintain integrations between Genesys Cloud and enterprise apps using APIs.
• Implement automation, infrastructure-as-code, and deployment processes.
• Support development and deployment of virtual agents and MCP integrations.
• Test, validate, and deploy across dev, test, and production environments.
• Troubleshoot platform issues and improve reliability with cross-team collaboration.
• Document configurations, deployment procedures, and technical solutions.
• Participate in ongoing platform optimization and monitoring efforts.

Skills

Genesys Cloud CX

APIs & integrations

CI/CD pipelines

AI-enabled contact center

Software development lifecycle

Troubleshooting

Tools

Genesys Cloud CX

Job description

MatchPoint Solutions is seeking a mid-level Genesys Cloud Engineer to implement, configure, test, and deploy Genesys Cloud solutions in support of CX and AI initiatives.

Under guidance from senior engineers, you will enhance platforms, automate processes, and ensure quality and deployment standards are met. This role emphasizes integration work, API usage, and ongoing platform optimization.