Senior Partner Agent Architect (UK)

Parloa; London (KY); Remote; USD 140,000 - 180,000; Full time

Job summary

Parloa, a leader in enterprise AI, is seeking a Sr Partner Agent Architect to guide partners through solution discovery, architecture design, and enterprise integrations.

You will collaborate with Forward Deployed Engineers and Partner Success Managers to design scalable AI Agent solutions and ensure successful deployments in complex environments.

Strong technical depth, excellent communication, and fluent English are essential for this highly customer-facing, enterprise role.

Qualifications

• 4+ years in enterprise technical, partner-facing roles.
• Experience with enterprise SaaS platforms (CRMs, ERPs, ticketing, contact centers).
• Excellent written and spoken English communication.

Responsibilities

• Design end-to-end AI Agent deployments in complex enterprise environments.
• Define how Parloa integrates with CRMs, ERPs, ticketing platforms, and contact centers.
• Lead architecture reviews and workshops with partners and customers.
• Translate customer requirements into structured conversational components.

Skills

Solution architecture

Systems thinking

Consultative communication

English fluency

Stakeholder management

Education

Bachelor's degree in a technical field

Tools

Postman

OAuth

JWT

REST APIs

Job description

About Parloa

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience - one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.

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. 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 will be helping partners shape the right technical solutions, architect scalable integrations, prioritize effectively, and successfully operationalize Parloa’s platform within complex enterprise environments. You will also help shape the conversational experience layer by translating customer requirements into AI Agent behavior through prompt engineering, LLM concepts, and conversational design. Prior conversational design experience is valuable but can be further developed on the job. You will work closely with strategic partners, enterprise customers, Partner Success Managers, Technical Program Managers, Forward Deployed Engineers, Solution Engineers, and the broader Agent Architect organization to drive successful AI deployments and long-term customer value.

This is your opportunity to shape how enterprise organizations and global partners adopt agentic AI at scale while acting as a trusted advisor across both business and technical stakeholders.

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.

What Success Looks Like

• Partners and customers trust you as a strategic and technical advisor.
• Partner-led deployments launch with scalable architectures, reliable integrations, and strong AI Agent performance.
• Partners become increasingly self-sufficient while maintaining high delivery quality and alignment with Parloa standards.
• Technical risks, integration gaps, and implementation blockers are identified and resolved early.
• Reusable technical guidance and architecture patterns improve delivery quality across the partner ecosystem.

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 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.
• Exposure to contact center, telephony, or enterprise CX technologies.
• Experience with integration platforms such as MuleSoft, Boomi, Workato, or 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.

Our Recruiting Process:

Talent Acquisition → Hiring Manager → Technical & Expert Interview(s) → Bar Raiser

Why Parloa?

We're at the beginning of a new era in customer experience, one where AI doesn't just respond, but understands, reasons, and takes action. We're building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren't just support tickets; they're defining experiences. We're here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale and want your work to matter in real, everyday moments, this is where you do it.

At Parloa, ownership isn't a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that's evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.

We've grown beyond the earliest startup phase, but we've kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.

Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we're scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.

Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information.

Parloa is an e-verify employer in the USA.

* We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.