Makai Labs
New York, United States2 months ago
110,000 – 120,000 USD
per year
Grade
Junior
Work Format
Remote
Employment
Full-time
English Level
B2 - Upper-Intermediate
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Title: Forward Deployed AI Analyst Company: Makai Labs Location: New York / California / Massachusetts / Texas / New Jersey / North Carolina / Remote
Compensation: $110K - $120K per year
Makai Labs builds AI systems that automate real work inside companies. As a Forward Deployed AI Analyst, you will train with Makai’s engineering, product, and client teams, then embed in one of our client engagements to find the workflows worth automating and build AI agents that handle them. You will work directly with the people who run the business, and your work is done when their teams rely on what you built.
This is an early-career role. You will see how a company actually runs from the inside, rapidly become a subject matter expert, and iterate on prototypes to improve their workflows.
You will spend about your first month in training and shadowing, then take one workflow end to end alongside a Makai lead before working more independently.
Engagements vary, but most follow the same arc. You start by learning how the work is done today. Discovery tasks include interviewing client Subject Matter Experts (SMEs), reading the documents they work from, and mapping the systems involved. Based on this discovery, you propose what to automate, work with the client team to write the spec, and build a prototype on Makai's platform. Makai engineers support the technical work throughout. If the prototype holds up with client practitioners, you run the rollout and measure productivity and ROI.
Not every project reaches every stage. Some end at discovery, and some prototypes don't survive user testing. Part of the job is figuring out what won’t work, so that we can focus our effort optimally.
Over time, Analysts will get put onto career development tracks toward AI engineering, product and implementation, or engagement leadership, depending on performance and interest.
We are looking for seniors, recent graduates, and early-career candidates who want a path toward company leadership. An ideal candidate has shown ownership both inside and outside the classroom. That could mean you:
Very technical candidates may be considered for AI engineering or solutions engineering paths. Product- and operator-oriented candidates may be considered for implementation, product, or business analysis paths.
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