Jobs
Jobs
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 IKEA and Booking.com already deploying Parloa at scale.
As a Senior AI Agent Architect at Parloa, you will play a key role in designing and implementing AI-powered agents that transform customer service. In this customer-facing role, you will work closely with enterprise customers and partners to build scalable, high-quality AI Agent solutions.
You will operate at the intersection of LLMs, conversational design, and enterprise systems — translating business requirements into effective, production-ready AI workflows. From solution design through deployment and iteration, you will ensure agents perform reliably, integrate seamlessly, and deliver meaningful outcomes.
This is your opportunity to build and deploy AI Agents in real-world enterprise environments—working hands-on with LLMs to create intelligent, scalable customer experiences.
Scope and implement AI Agent deployments across enterprise customers and partners
Translate customer requirements into structured conversational workflows and solution designs
Contribute to designing and validating scalable agent architectures for real-world use cases
Ensure reliable and high-quality agent behavior aligned with user and business needs
Continuously iterate and improve workflows based on performance and feedback
Apply knowledge of LLMs (e.g., embeddings, prompting techniques) to design effective agent behavior
Craft and refine prompts to improve consistency, reliability, and user experience
Break down complex workflows into structured, model-friendly interactions
Fine-tune conversational flows and outputs (e.g., SSML, lexicons, regex) to align with brand standards
Support testing and iteration efforts (e.g., A/B testing) to improve performance
Collaborate with Forward Deployed Engineers to integrate customer systems via APIs
Support integration with external tools such as CRMs, ticketing systems, and backend services
Contribute to building end-to-end solutions combining AI agents with enterprise systems
Troubleshoot issues across integrations, workflows, and system behavior
Work cross-functionally with Product, Engineering, and Customer teams
Work directly with customers and partners to implement and optimize AI solutions
Support customers in adopting best practices for conversational AI and automation
Help scale solutions from initial deployment to broader use cases
Document implementation patterns, best practices, and learnings
Contribute to shared knowledge and enablement across the team
You bring 3+ years of experience in a customer-facing, technical role, ideally working with conversational AI, LLMs, or AI-driven applications
You have hands-on experience in conversation design and AI agent implementation
You are comfortable working with LLMs and prompting techniques (e.g., few-shot, structured prompts)
You have strong analytical and problem-solving skills, with the ability to break down complex workflows
You have experience working with APIs, system integrations, and enterprise environments
You bring solid project and stakeholder management skills, with a focus on execution
You have strong attention to detail, especially when refining conversational experiences
Experience with A/B testing or performance optimization of AI systems
Familiarity with contact center technologies, CX platforms, or automation tools
Background in enterprise software or large-scale implementations
Talent Acquisition → Hiring Manager → Technical Interview(s) → Bar Raiser
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.
Compensation for this role is structured as On-Target Earnings (OTE), consisting of a base salary and performance-based variable component, in addition to an equity package.
Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team.
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. Please click here to learn more.
* We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.