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Sr Agent Architect (Germany)

Salary not listed • Remote • Berlin Office; Munich Office; Remotely in Germany • Full-time

Posted 3mo ago

This job has been open for more than 60 days. It may no longer be actively hiring, so check with the company before putting a lot into an application.

Job Location

Berlin Office; Munich Office; Remotely in Germany

Tech Stack

Remote Work Policy

Fully remote

Employment Type

Full-time

Categories

AI Agent Engineer

About the job

Parloa is at the forefront of a new era in customer experience, leveraging agentic AI to transform customer support into meaningful interactions. We power billions of customer interactions for global enterprise brands, making customer conversations effortless. As a Sr Agent Architect, you will be instrumental in designing and implementing end-to-end AI Agent solutions for our enterprise clients. This role focuses on architecting complex system integrations, shaping the conversational experience layer through prompt engineering and LLM knowledge, and ensuring the reliability and scalability of AI solutions within intricate enterprise environments.

Responsibilities

  • Design end-to-end solution architectures for AI Agent deployments, integrating Parloa's platform with customer enterprise systems (CRMs, ERPs, ticketing, contact center platforms).
  • Build and configure integrations using integration platforms and APIs, applying systems thinking to solve complex data flows.
  • Collaborate with Forward Deployed Engineers on custom integration scenarios.
  • Apply structured testing approaches to validate architecture, integration reliability, and AI agent performance.
  • Identify and resolve blockers in collaboration with internal departments and customers.
  • Scope AI Agent deployments, providing strategic architecture advice and execution support.
  • Analyze customer requirements and design prompts for reliable agent behavior using LLM internals (e.g., embeddings).
  • Translate complex customer workflows into structured conversational components for LLMs.
  • Fine-tune conversational flows and voice output to align with customer brand standards.
  • Document best practices, how-to guides, and product capabilities for internal and external audiences.

Requirements

  • 3+ years of experience in enterprise customer-facing roles, with proven expertise in solution architecture, systems architecture, or enterprise integration.
  • Strong systems thinking and a track record of solving complex technical problems across multiple systems.
  • Experience with complex SaaS implementations at scale (CRMs, ERPs, contact center platforms, ticketing systems).
  • Proficiency in REST API design, JSON/XML data structures, API testing tools (e.g., Postman), and API authentication patterns (OAuth, API keys, JWT).
  • Experience reading and consuming API documentation, including data transformation and field mapping.
  • Analytical and critical thinker with expertise in risk assessment and problem-solving.
  • Strong project and stakeholder management skills.
  • Entrepreneurial mindset with initiative and results orientation.
  • Ability to analyze customer requirements and translate them into LLM prompts and conversational flows.
  • Fluency in German and English is required.