Lead Agent Architect

You will lead the design and implementation of AI agent solutions, translate customer requirements into production-ready conversational workflows, and refine agent behavior. You will integrate agents with enterprise systems, test and optimize performance, resolve production issues, advise customers, and document scalable best practices.

Responsibilities

• Lead the design and implementation of AI agent solutions
• Translate customer requirements into scalable conversational workflows and architectures
• Develop LLM-driven agent behavior using prompt engineering, embeddings, and structured workflows
• Ensure reliable performance through guardrails, testing, and continuous iteration
• Optimize conversational flows including tone, SSML, and logic
• Integrate AI agents with APIs, CRMs, and backend services
• Troubleshoot production workflow, integration, and system-behavior issues
• Advise customers on best practices and scaling AI solutions
• Translate ambiguous business needs into structured solutions
• Document best practices and build enablement assets

Requirements

• 6+ years of experience in a customer-facing technical role
• Experience in conversation design and AI agent development
• Experience with LLMs, prompting techniques, and model behavior optimization
• Analytical and problem-solving skills
• Experience with APIs, system integrations, and enterprise architectures
• Project and stakeholder management skills
• Attention to detail in conversational-flow design

Benefits

• Equity package