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Lead Agent Architect

Updated

$196,000–$223,000New York, NYSenior

Lead the design and deployment of production-grade AI agent solutions for enterprise customer service, spanning conversational architecture, LLM behavior, integrations, and optimization.

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View posting at Parloa

At a glance

Posted base pay

$196K–$223KAbove the median

The work

Builds what the customer runs

Balance

  1. Mostly building
  2. Mixed
  3. Mostly pre-sales or support

Project stages

  1. Pre-sales
  2. Proof of concept (not covered)
  3. Implementation
  4. Operations
Coding
Configuration only
Builds for
External customers
Level
Senior
Role
Technical lead

What they ask for

Experience

  • 6+ yearscustomer-facing technical role

Background

  • Solutions and customer engineering

Tools

  • LLMs
  • prompt engineering
  • embeddings
  • SSML
  • APIs
  • CRMs
  • backend services
  • A/B testing
  • conversation design

Less common in FDE jobs

  • Coding work: Configuration only13%
  • Company size: About 201–1,000 people19%
  • Covers pre-sales25%
  • Company stage: Later private32%

Share of US FDE postings that state each fact.

The job description from Parloa

Posted by Parloa on

About Parloa

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience — one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, Allianz, SAP, BarmeniaGothaer and TUI already deploying Parloa at scale.

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 → Hiring Manager → Technical Interview(s) → Bar Raiser

Why Parloa?

We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale—and want your work to matter in real, everyday moments—this is where you do it.

At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.

We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.

Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.

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 clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information.

Parloa is an e-verify employer in the USA. Please click here to learn more.

* We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

View posting at Parloa

About Parloa

AI Agent Management Platform enabling enterprise customer service at scale; reimagines CX as agentic, multilingual, conversational interactions across voice and chat.

Series D · 200–500 people

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Pay and conditions

Posted pay
$196,000–$223,000
Pay details

Salary Range USD 196000–223000.

Location
New York, NY
Employment type
Full-time
Experience requirements
  • 6+ years: customer-facing technical role (required)