Hybrid Cloud AI Engineer, Forward Deployed

Posted 3 days ago

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About the role

  • Partner with Genesys CX Advisors, Solution Consultants, and customer stakeholders to identify AI use cases aligned with strategic objectives.
  • Assess value, effort, and feasibility to prioritize initiatives effectively.
  • Translate customer KPIs (AHT, CSAT, containment rates, etc.) into actionable AI solution opportunities.
  • Define reference architectures, integration patterns, and data flows for AI-powered experience orchestration.
  • Lead process-redesign workshops to create seamless, channel-agnostic CX.
  • Ensure all designs comply with Genesys and customer security, privacy, and regulatory requirements (GDPR, PDPA, PCI, HIPAA where applicable).
  • Deliver rapid POC and MVP implementations using Genesys Cloud AI Studio, Copilot, and related product suites.
  • Integrate Genesys AI components with customer CRM, ERP, and third-party systems.
  • Establish implementation KPIs and analytics to measure model and journey performance.
  • Evaluate solution performance against KPIs and refine designs based on data-driven insights.
  • Collaborate with Customer Success and Professional Services teams to hand over production-ready assets and roadmaps.
  • Champion responsible AI design principles and apply guardrails to prevent bias or unsafe responses.
  • Adhere to Genesys ethical standards and compliance frameworks.
  • Mentor customer and partner teams to build long-term AI maturity and self-sufficiency.

Requirements

  • Bachelor’s degree in Computer Science, Information Technology, Business, Data Science, or a related discipline, or equivalent hands-on experience in CX or AI solution delivery.
  • At least five years of experience implementing or supporting CX, CRM, or AI orchestration platforms (e.g., Genesys Cloud, Google CCAI, Salesforce, Microsoft, NICE CXone, AWS Connect, ServiceNow, or similar).
  • Three or more years of experience in solution architecture, systems integration, or AI/ML-enabled process design.
  • Demonstrated experience working with APIs, data pipelines, and modern cloud environments (Genesys, AWS, Azure, GCP).

Benefits

  • Health insurance
  • Professional development opportunities

Job title

Cloud AI Engineer, Forward Deployed

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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