Enterprise AI Experience Architect

8325 Netherlands - Genesys Cloud Services B.V.; Belgique; À distance; EUR 110 000 - 180 000; Plein temps

Résumé du poste

Genesys Cloud Services is seeking a senior AI Architect to design end-to-end AI systems for enterprise customer experiences. You will architect production-ready AI solutions, combining LLMs, deterministic workflows, tools, and orchestration layers across the full journey.

Work with data and real-time signals to optimize RAG, ground AI in enterprise data, and define evaluation frameworks to measure accuracy, containment, and business impact.

Qualifications

• Hands-on experience designing AI solutions for customer experience orchestration.
• Ability to balance latency, cost, governance, and risk in architecture.
• Experience with enterprise integration using RESTful APIs and event-driven design.
• Fluency in English and French; Dutch is a plus.

Responsabilités

• Design end-to-end AI systems for customer experience use cases.
• Architect production-ready AI solutions with LLMs, deterministic workflows, tools, and orchestration layers.
• Define how AI interacts across the full journey (self-service, agent copilot, journey management, and back-office automation).
• Establish AI evaluation frameworks and quality measurement strategies.
• Collaborate with customers to align AI outputs with trusted knowledge sources while balancing performance, latency, and governance requirements.
• Support pre‑sales activities such as technical discovery, solution design, product demonstrations, sandbox engagements, and value assessments.

Connaissances

AI architecture

Technical judgment

Enterprise integration

Evaluation & observability

Executive communication

Prompt design

Outils

Python

RESTful APIs

Description du poste

Genesys Cloud Services is seeking a senior AI Architect to design end-to-end AI systems for enterprise customer experiences. You will architect production-ready AI solutions, combining LLMs, deterministic workflows, tools, and orchestration layers across the full journey.

Work with data and real-time signals to optimize RAG, ground AI in enterprise data, and define evaluation frameworks to measure accuracy, containment, and business impact.