Senior Partner Agent Architect

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Design and implement comprehensive AI Agent deployments across intricate enterprise environments.

• Establish Parloa integrations with CRMs, ERPs, ticketing systems, contact center technologies, and various enterprise applications.

• Address complex multi-system data flows, dependencies, and integration challenges.

• Provide guidance to partners and customers on API design, authentication, data transformation, field mapping, error handling, and integration methodologies.

• Construct, configure, test, and troubleshoot integrations utilizing REST APIs, webhooks, JSON/XML payloads, and tools like Postman.

• Collaborate with Forward Deployed Engineers on intricate or customized integration scenarios.

• Facilitate technical discovery workshops, architecture evaluations, and solution design meetings.

• Convert customer workflows and business needs into conversational components and dependable AI Agent functionalities.

• Leverage knowledge of LLM, prompting, embeddings, and context management to enhance agent performance.

• Assist in prompt design, conversational flows, guardrails, escalation logic, and voice settings.

• Validate architecture, integration reliability, agent performance, and real-world functionality through structured testing.

• Evaluate partner-generated solution designs and empower partners to independently deliver Parloa solutions.

• Identify and mitigate delivery obstacles in collaboration with Product, Solution Engineering, Forward Deployed Engineering, Customer Success, and partner teams.

• Document reusable architecture models, implementation advice, technical standards, and best practices.

• Serve as a trusted strategic and technical advisor to both partners and enterprise customers.

⛳️ Requirements

• Over 4 years of experience in customer-facing technical roles within solution architecture, systems architecture, enterprise integration, technical consulting, or complex SaaS implementation.

• Experience collaborating with strategic partners, systems integrators, consulting firms, or partner-led delivery models.

• Strong systems thinking ability and experience in resolving complex issues across multiple systems and data sources.

• Familiarity with enterprise SaaS platforms, including CRMs, ERPs, ticketing systems, contact center platforms, or workflow tools.

• Proficient in REST APIs, JSON/XML, API testing tools such as Postman, and authentication methods including OAuth, API keys, and JWT.

• Experience interpreting API documentation, defining field mappings, and troubleshooting integration behavior.

• Capability to assess technical feasibility, architecture quality, scalability, security, and delivery risk.

• Comfort in hands-on work with integrations, configurations, testing, and troubleshooting.

• In-depth understanding of LLMs, prompt engineering, conversational architecture, and enterprise AI workflows.

• Ability to convert customer requirements into reliable prompts, conversational flows, and agent behaviors.

• Strong stakeholder and project management skills, with experience in leading workshops, discovery sessions, or architecture discussions.

• Exceptional communication and consultative problem-solving abilities across both technical and non-technical audiences.

• Entrepreneurial mindset, strong initiative, and ability to thrive in a dynamic environment.

• Excellent proficiency in written and spoken English is mandatory.

• Nice to have: Experience in enabling systems integrators or technical delivery partners.

• Nice to have: Exposure to contact center, telephony, or enterprise CX technologies.

• Nice to have: Familiarity with integration platforms like MuleSoft, Boomi, Workato, or SAP Integration Suite.

• Nice to have: Knowledge of embeddings, tool calling, retrieval, or agent orchestration.

• Nice to have: Experience with SSML, lexicons, regex, or voice configuration.

• Nice to have: Familiarity with TypeScript, Node.js, Git, CI/CD, cloud infrastructure, or Kubernetes.

• Nice to have: Experience in supporting enterprise go-lives and production troubleshooting.

🏝️ Benefits

• Equal opportunities for all qualified applicants.

• GDPR and ISO 27001 compliance in the management of sensitive information.