Senior Conversational AI Architect

Genesys; Indiana; On-site; USD 111,000 - 194,000; Full time

Benefits offered by this job

Medical, Dental, and Vision Insurance.

Telehealth coverage

Flexible work schedules and work from

Development and career growth

Open Time Off and 10 paid holidays

401(k) matching program

Adoption Assistance

Fertility treatments

Job summary

Genesys is seeking a hands-on Conversational AI Engineer to build and optimize Virtual Agents on Genesys Cloud. You will work with real-world conversation data to refine NLU models, design prompts, and collaborate with customers to translate requirements into measurable improvements.

You will blend NLU development with data analysis and cross-functional teamwork to drive reliable agentic experiences at scale, embracing empathy and innovation in conversational AI.

Qualifications

• Master's degree in Computer Science, Data Science, Machine Learning, or a related technical field.

Responsibilities

• Design and develop prompts for Agentic Virtual Agents that drive reliable task completion and high-quality customer experiences.
• Structure prompts to support grounding, tool and API usage, orchestration, and response consistency.
• Analyze failures in LLM-driven interactions and identify root causes across prompts, orchestration, data, and system behavior.
• Refine prompts iteratively to improve reliability, edge-case handling, task completion, and user experience.
• Evaluate end-to-end performance across NLU and LLM layers and implement data-driven optimizations.
• Establish and apply evaluation frameworks and test methodologies that support continuous improvement of agentic systems.

Skills

Conversational AI

NLU/NLP

Prompt engineering

Python

Node.js

Data analysis

Cross-functional teamwork

Model tuning

Education

Master's degree in Computer Science/Data Science/ML

Tools

Genesys Cloud

CCaaS platform

LLM platforms

Job description

Genesys is seeking a hands-on Conversational AI Engineer to build and optimize Virtual Agents on Genesys Cloud. You will work with real-world conversation data to refine NLU models, design prompts, and collaborate with customers to translate requirements into measurable improvements.

You will blend NLU development with data analysis and cross-functional teamwork to drive reliable agentic experiences at scale, embracing empathy and innovation in conversational AI.