Senior Partner Agent Architect
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Job Description
Senior Partner Agent Architect designing scalable enterprise integrations and AI Agent experiences for Parloa’s conversational AI platform. Advising strategic partners and customers on architecture, implementation, and deployment.
Responsibilities:
- Scope and design end-to-end AI Agent deployments across complex enterprise environments
- Define Parloa integrations with CRMs, ERPs, ticketing platforms, contact center technologies, and other enterprise applications
- 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, and 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 conversational components and reliable AI Agent behavior
- Apply LLM, prompting, embeddings, and context management knowledge to improve agent performance
- Support prompt design, conversational flows, guardrails, escalation logic, and voice configuration
- Validate architecture, integration reliability, agent quality, and real-world behavior through structured testing
- Review partner-created solution designs and enable partners 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
- Act as a trusted strategic and technical advisor to partners and enterprise customers
Requirements:
- 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 reliable prompts, conversational flows, and agent behaviors
- Strong stakeholder and project management skills, with experience leading workshops, discovery sessions, or architecture discussions
- 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 is required
- Nice to have: Experience enabling systems integrators or technical delivery partners
- Nice to have: Exposure to contact center, telephony, or enterprise CX technologies
- Nice to have: Experience with integration platforms such as MuleSoft, Boomi, Workato, or SAP Integration Suite
- Nice to have: Familiarity with embeddings, tool calling, retrieval, or agent orchestration
- Nice to have: Experience with SSML, lexicons, regex, or voice configuration
- Nice to have: Exposure to TypeScript, Node.js, Git, CI/CD, cloud infrastructure, or Kubernetes
- Nice to have: Experience supporting enterprise go-lives and production troubleshooting
Benefits:
- Equal opportunities for all qualified applicants
- GDPR and ISO 27001 compliance in handling sensitive information
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