Lorikeet

Solutions Architect

Lorikeet

Trusted by Fintechs, Healthtechs & other complex businesses to deliver a universal concierge for their customers

Competitive Salary

United States (Onsite)

Operations & Strategy

Mid-Level

Last updated 2026-04-11T06:01:12.863Z

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About the role

Overview

We are hiring a Solutions Architect for our US-based remote team to lead AI implementation projects, understand customer needs, and ensure successful deployment of Lorikeet's AI solutions.

Skills

Communication Stakeholder Management Data Analysis Product Strategy Leadership

Candidate requirements

These are the minimum requirements a candidate must meet to be considered for this role.

  • Have 2-5 years of client-facing experience in management consulting, technical implementation, or similar roles
  • Have a technical background, training or mindset, such as a CS or engineering major, experience in math or stats, or a track record of learning and using technical skills

About Lorikeet

Lorikeet is a platform that complex and regulated businesses use to provide their customers with a universal concierge. Lorikeet does this with AI agents that work across voice, chat and email. The agents are built on a unique architecture that focuses on flexibility and the ability to take actions to solve customers’ problems (not just tell them to self serve) in the most challenging circumstances.

Our customers include global FinTech, HealthTechs, crypto marketplaces, and other complex businesses.

They chose Lorikeet because scaling customer support while maintaining response quality is exceptionally hard. For companies with complex support needs and a focus on customer experience, continuing to throw people at the problem doesn't work, nor does implementing low-quality "help center summary" chatbots.

Lorikeet leverages best-in-class AI and a powerful workflow engine to deliver high-quality and scalable support automation at a fraction of the cost of manual solutions. We can solve tickets that involve looking up data, taking actions in your systems, and making complex decisions.

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