Lead AI Agent Architect for Enterprise CX

Parloa; United States; Remote; USD 180,000 - 280,000; Full time

Job summary

Parloa is seeking a Lead AI Agent Architect to drive design and implementation of AI agent solutions for enterprise customers. You will shape robust AI workflows, integrate with APIs and CRMs, and optimize agent performance across production environments.

You will work at the intersection of LLMs, conversational design, and enterprise systems, translating complex requirements into scalable solutions. This role focuses on building scalable, measurable customer experiences with agentic AI.

Qualifications

• 6+ years of experience in a customer-facing, technical role, ideally working with conversational AI, LLMs, or AI-driven applications.
• Hands-on experience in conversation design and AI agent development.
• Comfortable working with LLMs, prompting techniques, and model behavior optimization.
• Strong analytical and problem-solving skills, with the ability to break down complex workflows into structured solutions.
• Experience in APIs, system integrations, and enterprise architectures.

Responsibilities

• Lead the design and implementation of AI agent solutions, translating customer requirements into scalable conversational workflows and architectures.
• Develop and refine LLM-driven agent behavior through prompt engineering, embeddings, and structured workflows.
• Ensure high-quality, reliable performance through guardrails, testing, and continuous iteration based on data and feedback.
• Break down complex processes into model-friendly interactions and optimize conversational flows.

Skills

Conversational AI

LLMs

API integrations

Prompt engineering

Conversation design

Stakeholder management

Tools

APIs

CRM systems

Backend services

Job description

Parloa is seeking a Lead AI Agent Architect to drive design and implementation of AI agent solutions for enterprise customers. You will shape robust AI workflows, integrate with APIs and CRMs, and optimize agent performance across production environments.

You will work at the intersection of LLMs, conversational design, and enterprise systems, translating complex requirements into scalable solutions. This role focuses on building scalable, measurable customer experiences with agentic AI.