Sr Agent Architect (Germany)

As a Sr Agent Architect at Parloa, you will act as a solution architect for enterprise AI Agent deployments. You will design end-to-end system architectures that connect Parloa's platform to complex enterprise environments, solve multi-system integration challenges, and apply systems thinking to build reliable, scalable AI solutions for global enterprise clients.

What you'll do

• Design end-to-end solution architectures for AI Agent deployments, mapping how Parloa's platform integrates into customers' enterprise systems (CRMs, ERPs, ticketing systems, 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 that go beyond standard integration capabilities.
• Apply structured testing approaches to validate architecture, integration reliability, and AI agent performance under real-world conditions.
• Scope AI Agent deployments, providing strategic architecture advice and execution support to customers and partners.
• Use your knowledge of LLM internals 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 to align with customer brand standards.

What you'll need

• 3+ years of experience in enterprise customer-facing roles, with proven expertise in solution architecture, systems architecture, or enterprise integration.
• Strong systems thinking, with a track record of solving complex technical problems across multiple systems and data sources.
• 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 across enterprise SaaS platforms, including data transformation and field mapping logic.
• Analytical and critical thinker with expertise in risk assessment and problem-solving.
• Fluency in German and English is required.

Nice to have

• Prior conversation design, prompt engineering (e.g., chain-of-thought, few-shot learning), or A/B testing experience.