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Parloa is an agentic AI platform that has powered over one billion customer interactions for enterprise brands including Booking.com, HealthEquity, Allianz, SAP, and TUI. The company is building the foundation for a new era in customer experience where support is meaningful rather than transactional.
As a Senior Partner Agent Architect, you will operate at the intersection of enterprise solution architecture, conversational AI, and partner enablement. This is a highly consultative, customer-facing role where you guide strategic partners and enterprise customers through solution discovery, end-to-end solution architecture, enterprise integration design, conversational architecture, and implementation strategy for enterprise AI Agents.
You will design how Parloa's platform integrates into complex enterprise environments, solve multi-system integration challenges, and apply systems thinking to build reliable, scalable AI solutions. While you bring strong technical depth and can build when needed, your primary focus is helping partners shape the right technical solutions, architect scalable integrations, prioritize effectively, and successfully operationalize Parloa's platform within complex enterprise environments.
Key responsibilities include:
- Scope and design end-to-end AI Agent deployments across complex enterprise environments
- Define integration patterns with 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
- Lead technical discovery workshops, architecture reviews, and solution design sessions
- 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 (SSML, lexicons, regex)
- Apply structured testing to validate architecture, integration reliability, agent quality, and real-world behavior
- Review partner-created solution designs and help partners build capability to deliver Parloa solutions independently
- Identify and resolve delivery blockers with Product, Solution Engineering, and partner teams
- Document reusable architecture patterns, implementation guidance, technical standards, and best practices
Success means partners and customers trust you as a strategic and technical advisor, partner-led deployments launch with scalable architectures and reliable integrations, partners become increasingly self-sufficient while maintaining high delivery quality, technical risks are identified and resolved early, and reusable technical guidance improves delivery quality across the partner ecosystem.
REQUIREMENTS:
- 4+ years of experience in enterprise customer-facing technical roles (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 (CRMs, ERPs, ticketing systems, contact center platforms, workflow tools)
- Proficiency in REST APIs, JSON/XML, API testing tools (Postman), and authentication patterns (OAuth, API keys, 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 reliable prompts, conversational flows, and agent behaviors
- Strong stakeholder and project management skills, with experience leading workshops and discovery sessions
- Excellent communication and consultative problem-solving skills across technical and non-technical audiences
- Entrepreneurial mindset, strong initiative, and comfort operating in an evolving environment
- Excellent written and spoken English required
NICE TO HAVE:
- Experience enabling systems integrators or technical delivery partners
- Exposure to contact center, telephony, or enterprise CX technologies
- Experience with integration platforms (MuleSoft, Boomi, Workato, SAP Integration Suite)
- Familiarity with embeddings, tool calling, retrieval, or agent orchestration
- Experience with SSML, lexicons, regex, or voice configuration
- Exposure to TypeScript, Node.js, Git, CI/CD, cloud infrastructure, or Kubernetes
- Experience supporting enterprise go-lives and production troubleshooting
