About the role
As a Sr Partner Agent Architect at Parloa, you will operate at the intersection of enterprise solution architecture, conversational AI, and partner enablement, helping strategic partners and enterprise customers design, implement, and scale AI-driven customer experiences. This is a highly consultative, customer-facing role where you will guide partners and clients through solution discovery, end-to-end solution architecture, enterprise integration design, conversational architecture, and implementation strategy for enterprise AI Agents.
Areas of ownership
- Scope and design end-to-end AI Agent deployments across complex enterprise environments.
- Define how Parloa integrates with systems such as CRMs, ERPs, ticketing platforms, contact center technologies, and other enterprise applications.
- Apply systems thinking to solve complex multi-system data flows, dependencies, and integration challenges.
- Guide partners and customers on API design, authentication, data transformation, field mapping, error handling, and integration patterns.
- Build, configure, test, or troubleshoot integrations using REST APIs, webhooks, JSON/XML payloads, and tools such as Postman.
- Collaborate with Forward Deployed Engineers on complex or custom integration scenarios beyond standard platform capabilities.
- Lead technical discovery workshops, architecture reviews, and solution design sessions with partner and customer stakeholders.
- Translate customer workflows and business requirements into structured conversational components and reliable AI Agent behavior.
- Apply knowledge of LLMs, prompting strategies, embeddings, and context management to improve agent performance.
- Support prompt design, conversational flows, guardrails, escalation logic, and voice configuration such as SSML, lexicons, and regex.
- Apply structured testing to validate architecture, integration reliability, agent quality, and real-world behavior.
- Review partner-created solution designs and help partners build the capability to deliver Parloa solutions independently.
- Identify and resolve delivery blockers with Product, Solution Engineering, Forward Deployed Engineering, Customer Success, and partner teams.
- Document reusable architecture patterns, implementation guidance, technical standards, and best practices.
Who you are
- 4+ years of experience in enterprise customer-facing technical roles across solution architecture, systems architecture, enterprise integration, technical consulting, or complex SaaS implementation.
- Experience working with strategic partners, systems integrators, consulting firms, or partner-led delivery models.
- Strong systems thinking and experience solving complex problems across multiple systems and data sources.
- Experience with enterprise SaaS platforms such as CRMs, ERPs, ticketing systems, contact center platforms, or workflow tools.
- Proficiency in REST APIs, JSON/XML, API testing tools such as Postman, and authentication patterns including OAuth, API keys, and JWT.
- Experience reading API documentation, defining field mappings, and troubleshooting integration behavior.
- Ability to evaluate technical feasibility, architecture quality, scalability, security, and delivery risk.
- Comfort working hands-on with integrations, configuration, testing, and troubleshooting.
- Strong understanding of LLMs, prompt engineering, conversational architecture, and enterprise AI workflows.
- Ability to translate customer requirements into effective AI Agent behavior.