Lead Agent Architect
$196k - $223k • Remote • New York Office
Posted 1mo ago
Job Location
New York Office
Tech Stack
Remote Work Policy
Fully remote
Categories
AI Agent Engineer
About the job
As a Lead AI Agent Architect at Parloa, you will be instrumental in revolutionizing customer service through advanced AI-powered agents. This customer-facing role involves leading the design and implementation of AI Agent solutions to help enterprise clients and partners achieve more efficient, scalable, and intelligent customer experiences. You will operate at the convergence of LLMs, conversational design, and enterprise systems, translating intricate requirements into robust, production-ready AI workflows. Your responsibilities will span from initial solution design through deployment and optimization, ensuring AI agents perform reliably, integrate seamlessly, and deliver tangible business impact. This is a unique opportunity to architect and deploy cutting-edge AI Agents at scale, significantly influencing how enterprises leverage LLMs to enhance customer experience and operational efficiency.
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 using 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 (e.g., tone, SSML, logic).
- Design and deliver end-to-end solutions by integrating AI agents with enterprise systems (APIs, CRMs, backend services).
- Troubleshoot and resolve issues across workflows, integrations, and system behavior in production environments.
- Collaborate cross-functionally with Engineering, Product, and Customer teams to ensure successful delivery and scalability.
- Act as a trusted advisor to customers, guiding them on best practices and helping scale AI solutions across use cases.
- Translate ambiguous business needs into structured solutions while challenging unrealistic requirements when needed.
- Document best practices and contribute to building scalable knowledge and enablement assets across the team.
Requirements
- 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.
- Comfort working with LLMs, prompting techniques (e.g., chain-of-thought, few-shot), and model behavior optimization.
- Strong analytical and problem-solving skills, with the ability to break down complex workflows into structured solutions.
- Experience working with APIs, system integrations, and enterprise architectures.
- Strong project and stakeholder management skills, with a focus on execution and delivery.
- High attention to detail, especially when designing and refining conversational flows.