Senior Agent Architect

Key Responsibilities

• As a Sr Agent Architect at Parloa, you will act as a solution architect for enterprise AI Agent deployments
• You will design end-to-end system architectures that connect Parloa's platform to complex enterprise environments, solve multi-system integration challenges, and apply systems thinking to build reliable, scalable AI solutions for global enterprise clients
• You will also shape the conversational experience layer, using prompt engineering and your knowledge of LLMs to translate customer requirements into agent behavior
• Architecture and integration depth are the core of this role. Conversational design skills are valued and can be developed on the job
• 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

Qualifications / Skills

• 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
• Strong project and stakeholder management skills, with a passion for meeting milestones and effective communication
• Analytical and critical thinker with expertise in risk assessment and problem-solving
• 3+ years of experience in enterprise customer-facing roles, with proven expertise in solution architecture, systems architecture, or enterprise integration
• Experience reading and consuming API documentation across enterprise SaaS platforms, including data transformation and field mapping logic
• Strong systems thinking, with a track record of solving complex technical problems across multiple systems and data sources
• 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
• Fluency in French and English is required
• 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)