Role in brief
Lorikeet, an AI customer support company, seeks a Solutions Architect to lead AI implementation projects for clients. This role involves understanding customer needs, configuring AI workflows, and guiding technical deployments. It suits individuals with client-facing experience and a technical background who can manage complex integrations and stakeholder relationships.
About the role
This role focuses on leading AI implementation projects for Lorikeet's clients, from initial kickoff through to successful deployment. The Solutions Architect will act as an expert on Lorikeet's AI tools, configuring workflows and recommending solutions tailored to each customer's business. Success in this position means ensuring clients effectively integrate and utilize AI for their customer support needs.
The work involves a significant client-facing component, requiring the ability to understand diverse business requirements and translate them into practical AI solutions. This includes guiding customers through technical implementation challenges and collaborating with the product team to incorporate customer feedback. The ideal candidate will be adept at problem-solving complex integrations within a fast-paced environment.
Lorikeet is backed by significant venture capital and works with major companies in fintech, healthtech, and other sectors. The Solutions Architect will contribute to redefining customer support through AI, operating within a culture that values high performance and technical innovation. This position offers the opportunity to make a substantial impact on the adoption of AI technologies.
The annual salary for this position ranges from $102,000 to $225,000 USD.
Skills that matter here
- TypeScript: While not directly client-facing, familiarity with development languages like TypeScript suggests a technical understanding beneficial for integration discussions.
- React: Knowledge of front-end frameworks like React indicates a grasp of modern web technologies, useful when discussing UI/UX aspects of AI solutions with clients.
- NestJS: Experience with back-end frameworks such as NestJS points to an understanding of system architecture, which is relevant for solving integration challenges.
- Python: Proficiency in Python is valuable for understanding data processing and AI/ML model integration, which are core to Lorikeet's offerings.
Who this role suits
- A person with 2-5 years of experience in client-facing roles, such as management consulting or technical implementation.
- Someone with a strong project leadership background who can guide complex technical deployments.
- An individual who excels at building and maintaining relationships with stakeholders.
- A candidate with a solution-oriented mindset who is enthusiastic about AI and its applications.
From the employer
- Be an AI expert and evangelist for Lorikeet's customer base
- Lead AI implementation projects from kickoff to successful deployment
- Build and configure workflows in Lorikeet's AI tools
- Understand customers' businesses and recommend innovative AI solutions
- Work with the product team to represent customer needs
- Guide customers through technical implementation
- Solve complex integration challenges
- 2-5 years of client-facing experience in management consulting or technical implementation
- Technical background or mindset
- Strong project leadership skills
- Experience building and managing stakeholder relationships
- Strong communication skills
- Solution-oriented mindset
- Excited about AI and knowledgeable in the field
- Warm, mature, flexible culture
- High pay, high expectations, high performance
- Technical cutting edge
- No nonsense recruitment process
Questions about this role
What is the remote work policy for this role?
This is a fully remote position.
What is the expected seniority level for this position?
The job description does not specify a seniority level, but it requires 2-5 years of client-facing experience.
What technical skills are relevant for this role?
Relevant technical skills include TypeScript, React, Remix, PrismaORM, NestJS, and Python, indicating a need for a technical background or mindset.