ERPSAP AI Developer
Northfield, OH - USA
Job Summary
Job Summary
Responsible for designing developing and implementing AI-powered chatbot and AI agent solutions with a strong focus on end-to-end conversation orchestration enterprise integrations and customer experience continuity. This role bridges AI capabilities with customer service workflows to deliver scalable and high-performing solutions. Key Responsibilities Requirements
Experience Preferred
Responsible for designing developing and implementing AI-powered chatbot and AI agent solutions with a strong focus on end-to-end conversation orchestration enterprise integrations and customer experience continuity. This role bridges AI capabilities with customer service workflows to deliver scalable and high-performing solutions.
- Design and develop AI chatbot and AI agent solutions aligned to business use cases and intents
- Own end-to-end conversation orchestration including decision logic and multi-step workflows
- Integrate AI solutions with enterprise systems such as D365 SAP Genesys and knowledge bases
- Develop APIs middleware and data pipelines to support AI interactions
- Implement context-aware handoffs to live agents with full conversation continuity
- Support prompt engineering response tuning and model interaction workflows
- Optimize performance across latency cost and response accuracy
- Ensure scalability reliability and production readiness of AI solutions
- Partner with BAs product teams and vendors to ensure successful implementation
- Participate in testing debugging and deployment across pilot and MVP phases
- Monitor system performance and continuously improve AI capabilities
Experience
- 5 years of software development experience
- 2 3 years working with AI/ML or conversational AI
- Experience building AI agents or orchestration frameworks
- Strong experience integrating with enterprise systems (D365 SAP Genesys)
- Python JavaScript or Java
- AI/LLM frameworks APIs and orchestration tools
- REST APIs and microservices architecture
- Cloud platforms (Azure AWS or GCP)
- RAG vector databases and prompt engineering
- Experience with platforms like Cognigy
- Multi-LLM orchestration experience
- Real-time chat/voice integrations (Genesys Cloud)
- DevOps CI/CD and monitoring tools
- Knowledge of Responsible AI and security frameworks