Design and implement AI agent solutions for enterprise customers using LLMs, ensuring high-quality performance and seamless integration into enterprise systems.
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, Allianz, SAP, BarmeniaGothaer and TUI 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.
Design and implement AI agent solutions for enterprise customers, translating business requirements into scalable conversational workflows
Develop and refine LLM-driven agent behavior through prompt engineering, embeddings, and structured workflows
Ensure high-quality, reliable performance by implementing guardrails, testing, and continuous iteration based on feedback and data
Break down complex processes into model-friendly interactions and optimize conversational flows (e.g., tone, SSML, logic)
Collaborate with engineers to integrate AI agents with enterprise systems (APIs, CRMs, backend services) and deliver end-to-end solutions
Troubleshoot and resolve issues across workflows, integrations, and system behavior in production environments
Partner cross-functionally with Product, Engineering, and Customer teams to align on delivery and performance
Work directly with customers and partners to implement, optimize, and scale AI solutions across use cases
Provide guidance on best practices for conversational AI and automation to drive adoption and impact
Document patterns, insights, and best practices to support knowledge sharing and scalable enablement
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.
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.
Parloa builds advanced AI solutions for contact centers, focusing on automating customer service using natural-sounding conversations. Our platform enhances efficiency and transforms customer experiences, making us a distinctive player in the Generative AI space.
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