Senior Agent Architect (France)

Parloa; Paris; On-site; EUR 110,000 - 160,000; Full time

Job summary

Parloa is seeking a Senior Agent Architect to lead end-to-end AI Agent deployments for enterprise clients. You will design architectures that integrate Parloa with complex enterprise ecosystems while shaping the conversational layer through prompt engineering and LLM expertise.

You will collaborate with Product, Solution Engineering, and Sales to identify opportunities, resolve blockers, and ensure scalable, reliable AI solutions across CRMs, ERPs, and contact center platforms.

Qualifications

• Strong project and stakeholder management skills.
• Analytical and critical thinker with problem-solving expertise.
• Entrepreneurial mindset with initiative and results orientation.
• 3+ years in enterprise customer-facing roles as solution or systems architect.
• Experience reading API documentation across enterprise SaaS platforms.
• Ability to translate customer requirements into LLM prompts and conversational flows.
• Fluency in French and English is required.
• Experience with complex SaaS implementations at scale (CRMs, ERPs, contact center platforms).
• Proficiency in REST API design, JSON/XML data structures, API testing tools (Postman).

Responsibilities

• Act as a solution architect for enterprise AI Agent deployments.
• Design end-to-end architectures connecting Parloa platform to enterprise environments.
• Shape the conversational experience layer with prompt engineering and LLM knowledge.
• Map Parloa integrations into customers' enterprise systems (CRMs, ERPs, ticketing, contact centers).
• Build and configure integrations using platforms and APIs with systemic data flow thinking.
• Collaborate with Forward Deployed Engineers on complex custom integrations.
• Apply structured testing to validate architecture, integration reliability, and AI performance.
• Identify blockers with Product, Solution Engineering, Sales, and customers.
• Scope deployments, providing architecture advice and execution support.
• Analyze customer workflows to design prompts and reliable agent behavior.
• Fine-tune conversational flows and voice outputs to align with brand standards.
• Document best practices and product capabilities for internal/external audiences.

Skills

Project management

Stakeholder management

Analytical thinking

Problem solving

Entrepreneurial mindset

LLM prompt design

French & English fluency

Enterprise SaaS familiarity

REST API design

Systems thinking

Job description

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)