Lead Agent Architect

Parloa develops conversational AI for enterprise customer experiences. The Lead AI Agent Architect leads the design, implementation, integration, and optimization of AI agents, translating customer requirements into reliable production workflows and advising customers on scaling AI solutions.

Responsibilities:

• Lead the design and implementation of AI agent solutions, translating customer requirements into scalable conversational workflows and architectures
• Develop and refine LLM-driven agent behavior through prompt engineering, embeddings, and structured workflows
• Ensure high-quality, reliable performance through guardrails, testing, and continuous iteration based on data and feedback
• Break down complex processes into model-friendly interactions and optimize conversational flows (e.g., tone, SSML, logic)
• Design and deliver end-to-end solutions by integrating AI agents with enterprise systems (APIs, CRMs, backend services)
• Troubleshoot and resolve issues across workflows, integrations, and system behavior in production environments
• Collaborate cross-functionally with Engineering, Product, and Customer teams to ensure successful delivery and scalability
• Act as a trusted advisor to customers, guiding them on best practices and helping scale AI solutions across use cases
• Translate ambiguous business needs into structured solutions while challenging unrealistic requirements when needed
• Document best practices and contribute to building scalable knowledge and enablement assets across the team