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Parloa

Conversations AI platform for enterprise CX

Lead Agent Architect

Implementation & Technical Account ManagementUpdated on Nov 7
Full-time$196k - $220k /yrRemote

About the Job

Requirements

  • You bring 6+ years of experience in a customer-facing, technical role, ideally working with conversational AI, large language models, or AI-driven applications.
  • You have hands-on experience in conversation design and AI agent development.
  • You are comfortable working with large language models, prompting techniques such as chain-of-thought and few-shot prompting, 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 application programming interfaces, 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.

Responsibilities

  • Lead the design and implementation of AI agent solutions, translating customer requirements into scalable conversational workflows and architectures.
  • Develop and refine large-language-model-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, including tone, Speech Synthesis Markup Language, and logic.
  • Design and deliver end-to-end solutions by integrating AI agents with enterprise systems, including application programming interfaces, customer relationship management systems, and 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.

Desired Qualifications

  • Experience with A/B testing and performance optimization of AI systems.
  • Familiarity with contact center technologies, customer experience platforms, or automation tools.
  • Background in enterprise software or large-scale system implementations.

About the Company

Parloa

Conversations AI platform for enterprise CX

Parloa builds an AI Agent Management Platform for enterprise customer experience across voice, chat, and messaging. The platform lets organizations design, deploy, and manage AI-powered conversational agents and route interactions, integrating with CRM/CCaaS systems. It coordinates multi-channel conversations through a centralized management layer, enabling training, testing, and deployment with data flows to human agents when needed. Its goal is to help large enterprises deliver consistent, scalable customer experiences by connecting AI agents with existing enterprise data and workflows.

Company size
501-1,000
Company stage
Series D
Total funding
$564.3M
Headquarters
Berlin, Germany
Founded
2017

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