Senior AI Architect, Presales — Enterprise AI Solutions

Genesys; Washington; On-site; USD 135,000 - 237,000; Full time

Benefits offered by this job

Medical, Dental, and Vision Insurance

Telehealth

Flexible work schedules and work from 

Career growth opportunities

Open Time Off and holidays

401(k) matching

Job summary

Genesys in the United States is seeking a Senior AI Architect, Presales to guide how global enterprises apply AI to customer experience. You will connect Genesys Cloud AI with enterprise data, workflows, and ecosystems, shaping technical direction for strategic opportunities.

As a senior presales architect, you will lead solution architecture across self-service, agent assistance, journey management, and back-office automation, evaluating latency, cost, governance, and scalability while

Qualifications

• 7+ years of enterprise AI architecture experience.
• Hands-on with LLMs, NLP, and retrieval-based systems.
• Experience with AI evaluation, governance, and observability.
• Ability to design scalable, real-time AI solutions for enterprise.

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

Enterprise integration

LLMs / RAG

Observability & governance

Prompt design

Agentic coding tools

Executive communication

Tools

Cursor

OpenAI Codex

Kiro

Job description

Genesys in the United States is seeking a Senior AI Architect, Presales to guide how global enterprises apply AI to customer experience. You will connect Genesys Cloud AI with enterprise data, workflows, and ecosystems, shaping technical direction for strategic opportunities.

As a senior presales architect, you will lead solution architecture across self-service, agent assistance, journey management, and back-office automation, evaluating latency, cost, governance, and scalability while