Senior Agent Architect

Requirements

• 3+ years of experience in enterprise customer-facing roles, with proven expertise in conversation design and AI agent development
• Ability to analyse customer requirements and craft LLM prompts that align with desired conversational and functional outcomes
• Proficiency with advanced prompting strategies such as chain-of-thought prompting, few-shot learning
• Strong project and stakeholder management skills, with a passion for meeting milestones and communicating clearly
• Analytical and critical thinking skills, including experience with risk assessment and problem-solving
• Solid understanding of data structures, system integrations, and enterprise APIs
• Exceptional attention to detail and logical thinking, with the ability to identify and address subtle nuances in conversational flows
• Experience in planning and executing rigorous testing procedures to ensure AI agent performance at scale

What the job involves

• As a Senior 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
• 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