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Genesys

Cloud-based contact center software platform

Principal AI Solutions Architect - Customer Success

Implementation & Technical Account ManagementPosted on Nov 5
Full-time

About the Job

Requirements

  • At least 10 years of industry experience consulting on, implementing, architecting, or supporting enterprise customer experience, customer relationship management, artificial intelligence, automation, or experience orchestration platforms.
  • Demonstrated success designing and deploying enterprise artificial intelligence, automation, conversational artificial intelligence, or data-driven solutions in complex customer environments.
  • Strong hands-on experience with modern cloud platforms and architectures, including Genesys Cloud, Amazon Web Services, Microsoft Azure, Google Cloud Platform, or comparable technologies.
  • Deep expertise in enterprise integration and data patterns, including REST APIs, event-driven architecture, JSON, data pipelines, and large language model service integration.
  • Experience with contact center platforms, conversational artificial intelligence, natural language processing, agent-assist technologies, customer experience analytics, or omnichannel experience orchestration.
  • Strong understanding of large-language-model-powered conversational experiences, artificial intelligence agents, agentic orchestration, workflow design, and enterprise artificial intelligence integration patterns.
  • Working knowledge of data governance, security, privacy, and regulatory requirements relevant to enterprise artificial intelligence and customer experience environments.
  • Strong analytical and critical-thinking skills, with the ability to connect technical architecture decisions to business outcomes and customer key performance indicators.
  • Excellent communication and stakeholder engagement skills, including experience advising senior technical leaders, business executives, and cross-functional enterprise teams.
  • Ability to operate independently and exercise sound technical judgment in ambiguous, fast-moving customer environments.
  • Bachelor's degree in Computer Science, Information Technology, Data Science, Business, or a related discipline, or equivalent practical experience in customer experience or artificial intelligence solution delivery.

Responsibilities

  • Own end-to-end technical engagement with strategic customers, translating complex business challenges and customer experience key performance indicators into scalable artificial intelligence solutions that deliver measurable value.
  • Lead discovery, requirements analysis, solution architecture, integration, deployment, and optimization across Genesys Cloud, artificial intelligence, data, automation, and omnichannel customer experience.
  • Prioritize artificial intelligence initiatives based on business value, feasibility, effort, and adoption potential, helping customers move from experimentation to production and sustained value realization.
  • Design reference architectures, integration patterns, data flows, and governance approaches for artificial-intelligence-powered experience orchestration across enterprise platforms.
  • Lead process redesign and architecture workshops that improve customer journeys, streamline workflows, and create consistent experiences across digital and voice channels.
  • Deliver rapid proofs of concept and minimum viable products using Genesys Cloud AI Studio, Agentic Virtual Agents, Copilots, and related artificial intelligence capabilities, with clear paths to production scalability and enterprise adoption.
  • Guide integration of Genesys artificial intelligence capabilities with customer relationship management, enterprise resource planning, cloud, data, application programming interface, and third-party ecosystems using REST APIs, event-driven architectures, JSON, and large language model services.
  • Drive continuous value engineering after launch by evaluating performance against customer key performance indicators, tuning artificial intelligence solutions, identifying expansion opportunities, and developing roadmaps for sustained business impact.
  • Influence technical direction across the broader delivery ecosystem by engaging specialists from Innovation, Solution Consulting, Professional Services, Product, Customer Success, Support, and other teams as needed.
  • Champion responsible artificial intelligence architecture by incorporating appropriate security, privacy, governance, safety, and compliance controls, including payment card industry and Health Insurance Portability and Accountability Act requirements where applicable.
  • Build customer artificial intelligence maturity by serving as a trusted technical advisor, transferring knowledge, documenting reusable accelerators, and enabling customer teams to operate and expand solutions with greater self-sufficiency.

Desired Qualifications

  • Experience with customer journey mapping, omnichannel customer experience processes, and process redesign in large enterprise environments.
  • Familiarity with enterprise change management, artificial intelligence adoption programs, and large-scale technology transformation.
  • Experience influencing complex customer programs across Customer Success, Professional Services, Product, Engineering, Solution Consulting, or similar functions.
  • Experience developing reusable reference architectures, implementation patterns, technical accelerators, or artificial intelligence governance frameworks.
  • Knowledge of one or more industry verticals such as insurance, healthcare, financial services, retail, or the public sector.

About the Company

Genesys

Cloud-based contact center software platform

Genesys provides customer experience and contact center software. Its core product, Genesys Cloud CX, is a cloud-native platform for handling customer interactions across voice, messaging, email, chat, and social channels, with built-in AI for self-service, agent assistance, and journey orchestration. It also offers Genesys Cloud EX for workforce engagement and Multicloud CX and PureConnect for private cloud or on‑premises deployments, plus a marketplace called AppFoundry with hundreds of integrations. The company aims to help organizations deliver consistent, efficient customer experiences by routing interactions intelligently, automating self-service, and supporting agents across omnichannel channels at scale.

Company size
5,001-10,000
Company stage
Debt Financing
Total funding
$2.6B
Headquarters
Menlo Park, CA
Founded
2000

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