обновлено 5 дней назад
Sr Agent Architect (Germany)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr Agent Architect (AI enterprise integrations): Designing end-to-end architectures for AI Agent deployments that connect Parloa's platform with complex enterprise systems, with an accent on systems architecture, APIs, and reliable multi-system integrations. Focus on translating customer workflows into executable LLM prompts and conversational flows, validating agent performance, and fine-tuning voice output with SSML, Lexicons, and Regex.
Location: Berlin office, Munich office, or remotely in Germany
Company
develops agentic AI solutions that enable enterprise brands to deliver intelligent customer conversations at scale.
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 API and integration-platform connections, solving complex data flows and field-mapping challenges.
- Collaborate with Forward Deployed Engineering, Product, Solution Engineering, Sales, partners, and customers on complex deployments.
- Scope deployments, provide architecture guidance, identify blockers, and support execution through delivery.
- Translate customer workflows into LLM prompts, conversational components, and reliable agent behavior using knowledge of embeddings and LLM internals.
- Test architecture and agent performance, fine-tune conversational flows and voice output, and document best practices and product capabilities.
Requirements
- 3+ years of experience in enterprise customer-facing roles involving solution architecture, systems architecture, or enterprise integration.
- Experience implementing complex SaaS solutions at scale, including CRMs, ERPs, contact center platforms, or ticketing systems.
- Proficiency in REST API design, JSON/XML, 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.
- Strong systems thinking, analytical problem-solving, risk assessment, project management, and stakeholder communication skills.
- Fluency in German and English is required.
Nice to have
- Conversation design, prompt engineering, chain-of-thought or few-shot learning experience.
- A/B testing experience for evaluating agent performance.
Culture & Benefits
- Work on agentic AI for high-volume, enterprise-grade customer interactions.
- Ownership, accountability for outcomes, fast execution, and direct feedback.
- Opportunity to contribute in a rapidly evolving category with complex technical challenges.
- maintains GDPR and ISO 27001 data protection standards.
- Equal opportunity employment across backgrounds and characteristics.
Hiring process
- Talent Acquisition interview.
- Hiring Manager interview followed by technical interview(s).
- Bar Raiser interview.
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