Lead Agent Architect

Parloa•New York, NY

36d•$196,000 - $223,000

About The Position

As a Lead AI Agent Architect at Parloa, you will play a key role in transforming customer service through AI-powered agents. In this highly customer-facing role, you will lead the design and implementation of AI Agent solutions, helping enterprise customers and partners deliver more efficient, scalable, and intelligent customer experiences. You will work at the intersection of LLMs, conversational design, and enterprise systems, translating complex requirements into robust, production-ready AI workflows. From early solution design to deployment and optimization, you will ensure agents perform reliably, integrate seamlessly, and deliver measurable impact. This is your opportunity to design and deploy cutting-edge AI Agents at scale—shaping how enterprise companies leverage LLMs to transform customer experience and operational efficiency.

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
Comfortable 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
Experienced in working with APIs, system integrations, and enterprise architectures
Strong project and stakeholder management skills, with a focus on execution and delivery
High level of attention to detail, especially when designing and refining conversational flows

Nice To Haves

Experience with A/B testing and performance optimization of AI systems
Familiarity with contact center technologies, CX platforms, or automation tools
Background in enterprise software or large-scale system implementations

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 (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