Lead Agent Architect

Parloa

• $196K — $223K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6+ years in a customer-facing, technical role related to conversational AI or LLMs.
  • Hands-on experience in conversation design and AI agent development.
  • Proficient in working with LLMs and various prompting techniques.
  • Strong analytical skills for breaking down complex workflows.
  • Experience with APIs and enterprise system integrations.
  • Excellent project management and stakeholder management skills.
  • Attention to detail in designing and refining conversational flows.

Responsibilities

  • Lead design and implementation of scalable AI agent solutions.
  • Develop and optimize LLM-driven agent behaviors.
  • Ensure performance reliability through testing and iteration.
  • Simplify complex processes into manageable interactions.
  • Integrate AI agents with enterprise systems and APIs.
  • Troubleshoot issues in production workflows.
  • Collaborate with cross-functional teams for solution delivery.

Benefits

  • Scale opportunities working on cutting-edge technologies.
  • Be a key player in transforming customer service experiences.
  • Work in a cross-functional team environment.
  • Act as a trusted advisor to enterprise clients.
  • Contribute to knowledge assets and best practices.
Full Job Description
About the Role:

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.

Areas of Ownership:
  • 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


Who You Are:
  • You bring 6+ years of experience in a customer-facing, technical role, ideally working with conversational AI, LLMs, or AI-driven applications
  • You have hands-on experience in conversation design and AI agent development
  • You are comfortable working with LLMs, prompting techniques (e.g., chain-of-thought, few-shot), and model behavior optimization
  • You have strong analytical and problem-solving skills, with the ability to break down complex workflows into structured solutions
  • You are experienced in working with APIs, system integrations, and enterprise architectures
  • You bring strong project and stakeholder management skills, with a focus on execution and delivery
  • You have a high level of attention to detail, especially when designing and refining conversational flows
Nice to Have:
  • 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


Our Recruiting Process:

Talent Acquisition 12 Hiring Manager 12 Technical Interview(s) 12 Bar Raiser

Compensation for this role is structured as On-Target Earnings (OTE), consisting of a base salary and performance-based variable component, in addition to an equity package.

Salary Range

$196,000-$223,000 USD

Parloa is committed to upholding the highest data protection standards for our clients19 and employees19 data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information.

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