Forward Deployed AI Analyst

Makai LabsNew York, NY
$100,000 - $110,000Remote

About The Position

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.

Requirements

  • Python, JavaScript, SQL, or another programming/data-analysis language.
  • APIs, workflow automation, backend services, internal tools, or scripting.
  • LLMs, retrieval, agents, structured outputs, prompt design, or AI evaluation.
  • Data analysis, spreadsheets, dashboards, process mining, or financial/operating models.
  • Product specs, user stories, QA testing, Jira, Azure DevOps, or agile delivery.
  • Research, internships, startups, team leadership, athletics, or other high-accountability work.
  • Seniors, recent graduates, and early-career candidates who want a path toward company leadership.
  • Demonstrated ownership both inside and outside the classroom (e.g., built a product, tool, model, startup, research system, or internal process; led a club, team, lab effort, athletic group, event, or high-pressure project; took a messy internship project and turned it into something people used).

Responsibilities

  • 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.
  • Work directly with the people who run the business, and your work is done when their teams rely on what you built.
  • See how a company actually runs from the inside, rapidly become a subject matter expert, and iterate on prototypes to improve their workflows.
  • Spend about your first month in training and shadowing, then take one workflow end to end alongside a Makai lead before working more independently.
  • Learn how the work is done today through discovery tasks including interviewing client Subject Matter Experts (SMEs), reading the documents they work from, and mapping the systems involved.
  • Propose what to automate, work with the client team to write the spec, and build a prototype on Makai's platform.
  • Run the rollout and measure productivity and ROI if the prototype holds up with client practitioners.
  • Figure out what won’t work, so that we can focus our effort optimally.
  • Get put onto career development tracks toward AI engineering, product and implementation, or engagement leadership, depending on performance and interest.
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