Copy of Senior Genesys Cloud PS Consultant (Genesys AI experience)

We are looking for a Senior Genesys Cloud PS Consultant with Genesys AI experience to support enterprise clients in evaluating, designing, and validating AI-powered contact center solutions built on Genesys Cloud CX. The role combines business consulting, platform expertise, and hands-on technical validation. The consultant will work closely with business stakeholders, contact center operations, and technical teams to translate business requirements into practical Genesys Cloud AI solutions, assess platform capabilities and limitations, and provide evidence-based recommendations. Responsibilities Leading discovery workshops and gathering, documenting, and prioritizing business requirements with stakeholders and contact center teams. Assessing Genesys Cloud AI capabilities against business requirements and identifying platform limitations, configuration options, and integration gaps. Designing AI-powered contact center solutions covering knowledge management, knowledge surfacing, agent assistance, interaction summarization, and virtual agents. Configuring and testing Genesys Cloud features, building prototypes, proof of concepts, and validating the technical feasibility of proposed solutions. Evaluating technical architecture and integration options between Genesys Cloud AI, enterprise knowledge repositories, and internal applications. Assessing implementation effort, licensing, AI consumption, integration costs, and ongoing operational requirements. Preparing solution assessments and recommendations, documenting findings and risks, and presenting outcomes to business and technical stakeholders. 7+ years of experience in enterprise technology consulting, solution consulting, or contact center transformation. Hands-on experience with Genesys Cloud CX, including platform configuration and solution implementation, such as knowledge bases, Architect, bot flows, or Data Actions. Practical experience with Genesys Cloud AI capabilities. Understanding of how knowledge quality affects AI outcomes, including knowledge surfacing, semantic search, interaction summarization, agent assistance, and virtual agents. Ability to translate business requirements into solution designs and validate recommendations through configuration, testing, or proof of concept. Strong analytical, communication, and stakeholder management skills, with the ability to present technical recommendations to business and technical audiences. Eligibility to obtain and maintain a Government of...

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