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Parloa

Conversations AI platform for enterprise CX

Senior Agent Architect

Implementation & Technical Account ManagementUpdated on Nov 7
Full-timeNo salary listedRemote

About the Job

Requirements

  • At least 3 years of experience in enterprise customer-facing roles, with expertise in solution architecture, systems architecture, or enterprise integration.
  • Strong systems thinking and a track record of solving complex technical problems across multiple systems and data sources.
  • Experience with complex SaaS implementations at scale, including customer relationship management, enterprise resource planning, contact center platforms, and ticketing systems.
  • Proficiency in REST API design, JSON/XML data structures, API testing tools such as Postman, and API authentication patterns including OAuth, API keys, and JWT.
  • Experience reading and consuming API documentation across enterprise SaaS platforms, including data transformation and field mapping logic.
  • Expertise in risk assessment and problem-solving.
  • Strong project and stakeholder management skills, including meeting milestones and communicating effectively.
  • Ability to analyze customer requirements and translate them into LLM prompts and conversational flows, with attention to conversational nuance and A/B testing to assess agent performance.
  • Fluency in French and English is required.

Responsibilities

  • Design end-to-end solution architectures for AI Agent deployments, mapping how the platform integrates with customers' enterprise systems, including CRMs, ERPs, ticketing systems, and contact center platforms.
  • Build and configure integrations using integration platforms and APIs, applying systems thinking to solve complex, multi-system data flows.
  • Collaborate with Forward Deployed Engineers on complex or custom integration scenarios beyond standard integration capabilities.
  • Apply structured testing approaches to validate architecture, integration reliability, and AI agent performance under real-world conditions.
  • Identify and resolve blockers with other departments, including Product, Solution Engineering, and Sales, as well as with customers.
  • Scope AI Agent deployments and provide strategic architecture advice and execution support to customers and partners.
  • Use knowledge of LLM internals, including embeddings, to analyze customer requirements and design prompts for reliable, user-aligned agent behavior.
  • Translate complex customer workflows into structured conversational components that LLMs can execute reliably.
  • Fine-tune conversational flows and voice output, including SSML, lexicons, and regular expressions, to align with customer brand standards.
  • Document best practices, how-to guides, and product capabilities for internal and external audiences, representing the Agent Architect team's expertise.

Desired Qualifications

  • Prior conversation design, prompt engineering (including chain-of-thought and few-shot learning), or A/B testing experience is a plus; training will be provided.

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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