About Parloa
Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience - one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.
About the role:
As a Senior AI Agent Architect at Parloa, you will play a key role in transforming customer service with AI Agents. In this customer-facing role, you will support the implementation of Parloa's solutions, enhancing customer experiences for clients and partners.
Using your expertise in Large Language Models (LLMs), Natural Language Understanding (NLU), and conversational design, you will craft effective AI workflows, ensuring quality, performance, and seamless operation. You will design, prototype, and validate conversational solutions for AI agent deployments and guide customers and partners in maximising the value of Parloa’s AI solutions.
Areas of ownership:
- Scope and implement AI Agent deployments, providing strategic advice and execution support to customers and partners.
- Leverage your knowledge of LLM internals (e.g., embeddings) to analyze customer requirements and design precise prompts for reliable, user-aligned behavior.
- Simplify complex workflows and processes into digestible conversational components, enabling LLMs to handle challenging tasks effectively
- Fine-tune conversational flows and voice output (e.g. SSML, lexicons, regex) to align with customer brand standards
- Work closely with Agent Integration Engineers and Forward Deployed Engineers to connect customers’ systems with Parloa’s Agent Platform via APIs
- Identify and solve blockers together with other departments at Parloa (e.g. Product, Agent Integration Engineering, or Sales) and the customer
- Apply structured testing approaches to validate AI agent behaviour, quality, and performance under real-world conditions
- Document best practices, how-to guides, and product capabilities for internal and external audiences, representing the expertise of the Agent Architect team
Who you are:
- 3+ years of experience in enterprise customer-facing roles, with proven expertise in conversation design and AI agent development