Senior Agent Architect

About Parloa Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience — one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like IKEA and Booking.com already deploying Parloa at scale. About the Role As a Senior AI Agent Architect at Parloa, you will play a key role in designing and implementing AI-powered agents that transform customer service. In this customer-facing role, you will work closely with enterprise customers and partners to build scalable, high-quality AI Agent solutions. You will operate at the intersection of LLMs, conversational design, and enterprise systems — translating business requirements into effective, production-ready AI workflows. From solution design through deployment and iteration, you will ensure agents perform reliably, integrate seamlessly, and deliver meaningful outcomes. This is your opportunity to build and deploy AI Agents in real-world enterprise environments—working hands-on with LLMs to create intelligent, scalable customer experiences. Areas of Ownership AI Agent Design Implementation Scope and implement AI Agent deployments across enterprise customers and partners Translate customer requirements into structured conversational workflows and solution designs Contribute to designing and validating scalable agent architectures for real-world use cases Ensure reliable and high-quality agent behavior aligned with user and business needs Continuously iterate and improve workflows based on performance and feedback LLM Prompting Conversational Design Apply knowledge of LLMs (e.g., embeddings, prompting techniques) to design effective agent behavior Craft and refine prompts to improve consistency, reliability, and user experience Break down complex workflows into structured, model-friendly interactions Fine-tune conversational flows and outputs (e.g., SSML, lexicons, regex) to align with brand standards Support testing and iteration efforts (e.g., A/B testing) to improve performance System Integration Technical Collaboration Collaborate with Forward Deployed Engineers to integrate customer systems via APIs Support integration with external tools such as CRMs, ticketing systems, and backend services Contribute to building end-to-end solutions combining AI agents with enterprise systems Troubleshoot issues across integrations, workflows, and system behavior Work cross-functionally with Product, Engineering, and Customer teams Customer Advisory Enablement Work directly with customers and partners to implement and optimize AI solutions Support customers in adopting best practices for conversational AI and automation Help scale solutions from initial deployment to broader use cases Document implementation patterns, best practices, and learnings Contribute to shared knowledge and enablement across the team Who You Are You bring 3+ years of experience in a customer-facing, technical role , ideally working with conversational AI, LLMs, or AI-driven applications You have hands-on experience in conversation design and AI agent implementation You are comfortable working with LLMs and prompting techniques (e.g., few-shot, structured prompts) You have strong analytical and problem-solving skills , with the ability to break down complex workflows You have experience working with APIs, system integrations, and enterprise environments You bring solid project and stakeholder management skills , with a focus on execution You have strong attention to detail , especially when refining conversational experiences Nice to Have Experience with A/B testing or performance optimization of AI systems Familiarity with contact center technolo ... (truncated, view full listing at source)