Lead Agent Architect
United StatesJobPosted 3 days agoStill listed today
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At a glance
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Job overview
The Lead AI Agent Architect will lead the design and implementation of AI agent solutions for enterprise customers and partners. The role translates complex requirements into production-ready conversational workflows, develops LLM-driven agent behavior, and integrates agents with enterprise systems. It spans solution design through deployment and optimization, with customer-facing guidance and cross-functional collaboration to support reliable performance and scalable customer experiences.
Skills & qualifications
Skills
Qualifications
Full job description
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, HealthEquity, 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 → Technical Screen → 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.
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. If you receive an offer of employment from Parloa, you will need to go through the E-Verify process of digital verification of your employment authorization documents as provided on the Form I-9. Participation in E-Verify does not limit your right to work and verification will only be completed after you become an employee with Parloa.
- We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.
How this job compares
Set against the 8,449 open Solutions Architect jobs on Olive Jobs, counted November 14, 2026.
- Pay
- This postingNot listed
- US median$138–248K/yr7,637 salary ranges
- US median$45–98/hr141 hourly ranges
- Openings
- Olive Jobs lists 8,449 open Solutions Architect jobs across the US. 11% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 6 years of experience; Solutions Architect postings that state a minimum ask for 7 years at the median (7,488 postings).
- Education
- 2,858 of the 8,449 open Solutions Architect jobs (34%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 14, 2026. Figures based on too few postings are left out.
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