Senior Agent Architect

Parloa•New York, NY

18d

About The Position

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.

Requirements

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

Nice To Haves

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

Responsibilities

AI Agent Design & Implementation
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
LLM Prompting & Conversational Design
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
System Integration & Technical Collaboration
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
Customer Advisory & Enablement
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