Senior AI Solutions Architect — Enterprise Orchestration

Genesys-; Belgique; Sur place; EUR 90 000 - 140 000; Plein temps

Résumé du poste

Genesys is seeking a Senior AI Solution Architect to design end-to-end AI systems for customer experienceUse cases, enabling production-ready AI solutions that blend LLMs, tooling, and orchestration. You will craft strategies across self-service and agent copilot, balancing latency, governance, and data governance.

You will engage with executives, translate complex AI concepts into business value, and collaborate with sales, engineering, and services to drive successful AI implementations and

Qualifications

• Experience designing AI solutions for customer experience orchestration.
• Ability to translate AI architectures into clear business value for executives.
• Experience with retrieval-augmented generation (RAG) and knowledge management.
• Experience with enterprise data, APIs, and real-time systems.
• Fluency in English; French is a plus.

Responsabilités

• Design end-to-end AI systems for CX use cases.
• Architect production-ready AI solutions with LLMs, tools, and orchestration layers.
• Define AI interactions across self-service, agent copilot, journey management, and back-office automation.
• Establish AI evaluation frameworks and governance, including latency and cost considerations.
• Support pre-sales with technical discovery, demos, and value assessments.

Connaissances

AI architecture

Enterprise integration

Observability

Executive communication

Prompt design

Python

English fluent

French fluent

Sales collaboration

Cost optimization

Genesys Cloud

Latency management

Outils

MCP

A2A

Description du poste

Genesys is seeking a Senior AI Solution Architect to design end-to-end AI systems for customer experienceUse cases, enabling production-ready AI solutions that blend LLMs, tooling, and orchestration. You will craft strategies across self-service and agent copilot, balancing latency, governance, and data governance.

You will engage with executives, translate complex AI concepts into business value, and collaborate with sales, engineering, and services to drive successful AI implementations and