Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Parloa

Senior Agent Architect, Germany

Parloa

Sr Agent Architect at Parloa designing and integrating AI solutions for enterprise environments. Involves complex system architectures and crafting conversational user experiences.

Posted 7/22/2026full-timeRemote • 🇩🇪 GermanySeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing AI Agent solutions, integrating complex enterprise systems, and applying systems thinking to optimize multi-system data flows. Proficient in API design and testing, with strong analytical skills to translate customer requirements into effective conversational components.

Highest-signal resume keywords
AI Agent Solution ArchitectureREST API DesignSaaS ImplementationsSystems ThinkingFluency in German and English

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
API Testing ToolsJSON/XML Data StructuresData TransformationPrompt EngineeringConversational DesignA/B TestingRisk AssessmentStakeholder ManagementProject ManagementIntegration Platforms
Soft Skills
Analytical ThinkingProblem-SolvingEffective CommunicationEntrepreneurial MindsetInitiative
Tools & Technologies
PostmanOAuthAPI KeysJWT
Industry Keywords
CRMsERPsContact Center PlatformsTicketing SystemsEnterprise Systems

About the role

Key responsibilities & impact
  • 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
  • Identify and resolve blockers together with other departments at Parloa (e.g., Product, Solution Engineering, Sales) and the customer
  • Scope AI Agent deployments, providing strategic architecture advice and execution support to customers and partners
  • Use your knowledge of LLM internals (e.g., 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 (e.g., SSML, Lexicons, Regex) to align with customer brand standards
  • Document best practices, how-to guides, and product capabilities for internal and external audiences, representing the expertise of the Agent Architect team

Requirements

What you’ll need
  • 3+ years of experience in enterprise customer-facing roles
  • 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
  • Strong project and stakeholder management skills, with a passion for meeting milestones and effective communication
  • Entrepreneurial mindset with initiative, results orientation, and ability to identify opportunities for impact
  • Ability to analyze customer requirements and translate them into LLM prompts and conversational flows, with attention to subtle conversational nuance and A/B testing to assess agent performance.
  • Prior conversation design, prompt engineering (e.g., chain-of-thought, few-shot learning), or A/B testing experience is a plus, not a requirement - we will train this.
  • Fluency in German and English is required

Benefits

Comp & perks
  • Health insurance
  • Flexible work arrangements
  • Professional development opportunities