Senior AI Architect, Presales — Enterprise AI Solutions

Genesys Cloud Services, Inc.

Denver (CO)

On-site

USD 135,000 - 237,000

Full time

14 days+
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Benefits offered by this job

Medical Insurance
Dental Insurance
Vision Insurance
Flexible work schedules

Job summary

Genesys Cloud Services, Inc. seeks a Senior AI Architect, Presales to shape how global enterprises apply AI to customer experience.

You will guide architecture decisions, connect Genesys Cloud AI with enterprise data, workflows, and APIs, and lead solution architecture across self-service, agent assistance, and back-office automation. Collaborate with Sales, Professional Services, Product Management, and Engineering to move opportunities from discovery to production pilots, ensuring scalable,

Qualifications

  • Extensive hands-on experience architecting modern AI solutions.
  • Ability to defend tradeoffs across model selection, latency, cost and governance.
  • Experience integrating AI with enterprise data, workflows, and APIs.
  • Strong experience in presales engagements and customer demonstrations.

Responsibilities

  • Architect production-ready AI systems for customer experience use cases that combine LLMs, deterministic workflows, tools, orchestration layers, human handoffs, fallback strategies, and failure handling
  • Design scalable RAG and enterprise knowledge architectures, including strategies for content structuring, chunking, embedding, ranking, and trusted knowledge integration, to improve response accuracy, relevance, and freshness while balancing latency, performance, security, and governance requirements
  • Establish AI evaluation and observability frameworks that connect accuracy, retrieval quality, tool-call performance, containment, customer satisfaction, safety, drift, cost, and other technical measures to customer and business outcomes
  • Engineer contextual AI experiences that use real-time customer data, interaction history, conversation state, and external signals to deliver coherent and personalized experiences across channels and touchpoints
  • Optimize enterprise AI architectures for scalability, voice and digital latency, throughput, reliability, and cost through informed decisions about model selection, caching, context management, and architecture patterns
  • Drive strategic presales engagements through technical discovery, solution architecture, product demonstrations, sandbox and trial engagements, AI integration guidance, and value assessments that advance enterprise opportunities
  • Develop and validate AI prototypes through production pilot readiness, partnering with account teams and Professional Services to prove use cases and integrations, validate latency and success criteria, harden architectures, align KPIs, and confirm business outcomes
  • Demonstrate the value of Genesys Cloud AI by connecting platform capabilities, architecture patterns, integrations, and emerging interoperability approaches, including Model Context Protocol (MCP) and agent-to-agent (A2A), to customer requirements and measurable business outcomes
  • Scale field capability by developing reusable technical assets, workshops, coaching, and enablement for Solution Consultants, partners, and account teams
  • Influence AI product and go-to-market direction by translating customer requirements, implementation insights, and field feedback into actionable guidance for Product Management and Engineering

Skills

AI architecture
Solution architecture
LLMs
RAG
Cloud integrations
Executive communication

Tools

RESTful APIs
Event-driven architectures

Job description

Genesys Cloud Services, Inc. seeks a Senior AI Architect, Presales to shape how global enterprises apply AI to customer experience.

You will guide architecture decisions, connect Genesys Cloud AI with enterprise data, workflows, and APIs, and lead solution architecture across self-service, agent assistance, and back-office automation. Collaborate with Sales, Professional Services, Product Management, and Engineering to move opportunities from discovery to production pilots, ensuring scalable,

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