Lead AI Agent Architect, Parloa

• You bring 4+ 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 development
• You are comfortable working with LLMs, prompting techniques (e.g., chain-of-thought, few-shot), and model behavior optimization
• You have strong analytical and problem-solving skills, with the ability to break down complex workflows into structured solutions
• You are experienced in working with APIs, system integrations, and enterprise architectures
• You bring strong project and stakeholder management skills, with a focus on execution and delivery
• You have a high level of attention to detail, especially when designing and refining conversational flows

Desirable

• As a Lead AI Agent Architect at Parloa, you will play a key role in transforming customer service through AI-powered agents
• In this highly customer-facing role, you will lead the design and implementation of AI Agent solutions, helping enterprise customers and partners deliver more efficient, scalable, and intelligent customer experiences
• You will work at the intersection of LLMs, conversational design, and enterprise systems, translating complex requirements into robust, production-ready AI workflows
• From early solution design to deployment and optimization, you will ensure agents perform reliably, integrate seamlessly, and deliver measurable impact
• This is your opportunity to design and deploy cutting-edge AI Agents at scale—shaping how enterprise companies leverage LLMs to transform customer experience and operational efficiency
• 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

• Talent Acquisition
• Hiring Manager
• Technical Interview(s)
• Bar Raiser