1 day ago
Remote, United Kingdom or London, United KingdomSenior
Responsibilities
- Scope and design end-to-end AI Agent deployments across complex enterprise environments.
- Define integrations between Parloa and CRMs, ERPs, ticketing platforms, contact center technologies, and other enterprise applications.
- Solve multi-system data flow, dependency, authentication, transformation, field-mapping, and error-handling challenges.
- Build, configure, test, and troubleshoot integrations using REST APIs, webhooks, JSON/XML payloads, and Postman.
- Lead technical discovery workshops, architecture reviews, and solution design sessions with partners and customers.
- Translate customer workflows into conversational components, prompts, flows, guardrails, escalation logic, and reliable AI Agent behavior.
- Apply LLM, prompting, embeddings, and context-management knowledge to improve agent performance.
- Review partner solution designs and enable partners to deliver Parloa solutions independently.
- Identify and resolve delivery blockers with product, engineering, customer success, and partner teams.
- Document reusable architecture patterns, implementation guidance, technical standards, and best practices.
Requirements
- At least 4 years of experience in enterprise customer-facing technical roles such as 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 problems across multiple systems and data sources.
- Experience with enterprise SaaS platforms, including CRMs, ERPs, ticketing systems, contact center platforms, or workflow tools.
- Proficiency with 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.
- Hands-on comfort 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, including leading workshops, discovery sessions, or architecture discussions.
- Excellent communication and consultative problem-solving skills across technical and non-technical audiences.
- Excellent written and spoken English is required.
- Experience enabling systems integrators or technical delivery partners is preferred.
- Exposure to contact center, telephony, enterprise CX technologies, integration platforms, embeddings, tool calling, retrieval, agent orchestration, voice configuration, enterprise go-lives, or production troubleshooting is preferred.
- Exposure to TypeScript, Node.js, Git, CI/CD, cloud infrastructure, or Kubernetes is preferred.
Tech Stack
Categories
Solutions Engineering
About Parloa
Parloa builds an enterprise platform to design, deploy, and manage AI voice and chat agents for customer service across telephony and digital channels. It sells its software as SaaS and in customer-controlled environments, integrating with contact center systems and automating conversations, routing, and transactions. Founded in 2018 and headquartered in Berlin, the privately held company serves global brands including Booking.com, Allianz, SAP, TUI, and HealthEquity.