AI Architect

Kustomer•New York, NY

1d•$135,000 - $180,000•Remote

About The Position

AI is no longer just a feature of the Kustomer platform — it's how modern customer service gets delivered, and our Professional Services team is where that gets built for real customers. As an AI Architect, you'll design and build the AI agents and automations that run our customers' support operations: Kustomer Concierge for their end users and Kustomer Envoy for their support teams. You'll run discovery with customer stakeholders to map their systems and business processes, then turn that understanding into working solutions using procedures, Code Tools, and Workflows that let AI agents look up an order, schedule a delivery, process a refund, or hand off cleanly to a human. This is a hands-on building role, and it's an AI-first one. Our team uses Claude Code, the in-platform Kustomer Architect agent, and a set of connected internal tools to build, test, debug, and document. You'll be expected to get good at directing AI to do the heavy lifting so you can spend your judgment where it matters: on the discovery, the architecture, and the decisions about what should be automated at all. The experience you build here — seeing how our AI products perform across real customer environments — leads to a close working partnership with Product and Engineering. The team meets with them regularly to share what's working in the field, shape where the AI products go next, and establish the best practices that the rest of the company builds on.

Requirements

Experience in technical consulting, solutions architecture, implementation, or engineering — ideally in enterprise B2B SaaS
A track record of running effective customer discovery sessions: you can genuinely unpack the use cases and business processes behind what a customer says they want
Hands-on experience building integrations and prototypes against REST APIs, and real fluency in testing and debugging them
Ability to read and reason over JavaScript; you don't need to write production code from scratch, but you do need to understand what a Code Tool is doing, where it might be failing, and how to improve it
Genuine AI fluency in how you work. You already use AI coding and reasoning tools daily and have opinions about how to get good output from them
Familiarity with the customer experience and support space, and comfort discussing omnichannel delivery (email, voice, chat, social, bot) with both technical and business audiences
Strong written and verbal communication. You can explain a complex design to a VP of Engineering and a Tier 3 support lead in the same meeting and have both leave clear on what happens next
Innate curiosity for new technologies, tooling, and frameworks — and excitement to share what you find with colleagues

Responsibilities

Leading technical discovery sessions with customer experts to fully understand their use cases, business processes, and the systems that support them
Designing and building AI agents, code tools, and automations in Kustomer Concierge and Envoy
Guiding customers through the data and integration work that makes those agents possible, and identifying where their systems need to change
Helping prospects with proof of concept builds in testing environments
Testing, debugging, and tuning AI configurations in production — reading logs, stack traces, and API responses to refine and improve responses
Partnering with Product and Engineering: providing field feedback, brainstorming best practices, and writing documentation
Collaborating across the company to share AI knowledge and best practices
Travel as needed to support customer initiatives