1 день назад
Senior Agent Architect (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Agent Architect (AI) (Enterprise Integration/LLMs): Designing end-to-end architectures for AI Agent deployments that connect Parloa's platform with complex enterprise systems, with an accent on systems architecture, multi-system integrations, and reliable conversational behavior. Focus on building API-driven data flows, translating customer workflows into LLM prompts and conversational components, and validating architecture and agent performance through structured testing.
Location: Berlin office or remotely in Germany
Company
builds enterprise-grade conversational AI that enables global brands to deliver intelligent, scalable customer interactions.
What you will do
- Design end-to-end solution architectures for AI agent deployments across CRMs, ERPs, ticketing systems, and contact center platforms.
- Build and configure integrations using APIs and integration platforms, including complex data flows, transformations, and field mappings.
- Collaborate with Forward Deployed Engineers, Product, Solution Engineering, Sales, partners, and customers to resolve technical blockers and scope deployments.
- Apply structured testing to validate integration reliability, architecture quality, and AI agent performance in real-world conditions.
- Translate customer workflows into prompts and conversational components using LLM knowledge, including embeddings, prompt engineering, and A/B testing.
- Fine-tune conversational flows and voice output with SSML, lexicons, and regular expressions, and document implementation best practices.
Requirements
- 3+ years of experience in enterprise customer-facing roles involving solution architecture, systems architecture, or enterprise integration.
- Experience with complex SaaS implementations at scale, including CRMs, ERPs, contact center platforms, or ticketing systems.
- Proficiency in REST APIs, JSON/XML data structures, Postman or similar API testing tools, and OAuth, API key, and JWT authentication.
- Experience reading enterprise SaaS API documentation and handling data transformation and field-mapping logic.
- Strong analytical, critical-thinking, project-management, stakeholder-management, and communication skills.
- Excellent written and spoken German and English are required.
Nice to have
- Prior conversation design, prompt engineering, chain-of-thought or few-shot learning experience.
- Experience with A/B testing for conversational or AI agent performance.
Culture & Benefits
- Work from the Berlin office or remotely within Germany.
- Ownership, direct feedback, fast execution, and accountability for outcomes.
- Opportunity to build enterprise-grade agentic AI for complex, high-volume customer interactions.
- Work within GDPR and ISO 27001-compliant data protection practices.
Hiring process
- Talent Acquisition interview.
- Hiring Manager interview.
- Technical interview(s), followed by a Bar Raiser interview.
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