Senior Agent Architect
Confirmed live in the last 24 hours
Parloa
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, Allianz, SAP, BarmeniaGothaer and TUI already deploying Parloa at scale.
About the Role:
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.
Areas of Ownership:
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Design and implement AI agent solutions for enterprise customers, translating business requirements into scalable conversational workflows
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Develop and refine LLM-driven agent behavior through prompt engineering, embeddings, and structured workflows
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Ensure high-quality, reliable performance by implementing guardrails, testing, and continuous iteration based on feedback and data
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Break down complex processes into model-friendly interactions and optimize conversational flows (e.g., tone, SSML, logic)
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Collaborate with engineers to integrate AI agents with enterprise systems (APIs, CRMs, backend services) and deliver end-to-end solutions
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Troubleshoot and resolve issues across workflows, integrations, and system behavior in production environments
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Partner cross-functionally with Product, Engineering, and Customer teams to align on delivery and performance
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Work directly with customers and partners to implement, optimize, and scale AI solutions across use cases
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Provide guidance on best practices for conversational AI and automation to drive adoption and impact
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Document patterns, insights, and best practices to support knowledge sharing and scalable enablement
Who You Are:
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You bring 3+ years of experience in a customer-facing, technical role, ideally working with conversational AI, LLMs, or AI-driven applications
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You have hands-on experience in conversation design and AI agent implementation
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You are comfortable working with LLMs and prompting techniques (e.g., few-shot, structured prompts)
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You have strong analytical and problem-solving skills, with the ability to break down complex workflows
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You have experience working with APIs, system integrations, and enterprise environments
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