Senior AI Agent Architect — Enterprise Conversational Lead

Parloa

United States

On-site

USD 150,000 - 210,000

Full time

6 days ago
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Job summary

Parloa is seeking a Lead AI Agent Architect to shape enterprise AI experiences. In this highly customer-facing role, you will design and implement AI agent solutions, working with LLMs, conversational design, and integration with enterprise systems.

You will translate complex requirements into scalable workflows, ensure reliable production performance, and guide customers on best practices. Collaboration with Engineering, Product, and Customer teams is essential to deliver measurable impact.

Qualifications

  • 6+ years in a customer-facing, technical role with AI/LLM experience.
  • Hands-on design and development of AI agent solutions.
  • Proficient with prompting, model behavior tuning, and API integrations.

Responsibilities

  • Lead design and implementation of AI agent solutions for enterprise customers.
  • Refine LLM-driven behavior via prompts and structured workflows.
  • Ensure reliable performance with testing, guardrails, and data-driven iterations.
  • Break down complex processes into model-friendly interactions.
  • Integrate agents with APIs, CRMs, and backend services.
  • Troubleshoot issues across workflows and production systems.
  • Collaborate with Engineering, Product, and Customer teams.
  • Advise customers on best practices and scalable AI solutions.
  • Document best practices and contribute reusable assets.

Skills

Conversation design
AI agent development
LLMs
APIs & integrations
Stakeholder management
Customer-facing

Job description

Parloa is seeking a Lead AI Agent Architect to shape enterprise AI experiences. In this highly customer-facing role, you will design and implement AI agent solutions, working with LLMs, conversational design, and integration with enterprise systems.

You will translate complex requirements into scalable workflows, ensure reliable production performance, and guide customers on best practices. Collaboration with Engineering, Product, and Customer teams is essential to deliver measurable impact.

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