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Head of AI

Job in Town of Poland, Jamestown, Chautauqua County, New York, 14701, USA
Listing for: Carbon
Full Time position
Listed on 2026-07-26
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 180000 - 280000 USD Yearly USD 180000.00 280000.00 YEAR
Job Description & How to Apply Below
Location: Town of Poland

Carbon partners with technology companies to redesign how they build and how they operate. We construct nearshore engineering hubs that our clients come to own outright, and we deploy embedded AI teams, our Carbon AI Pods, that transform how organizations run. Every engagement is structured around a defined business case and accountable to a measurable outcome.

Why Carbon?

Most AI initiatives stall between strategy and production. Carbon closes that gap. We embed senior practitioners and specialist teams inside client organizations, redesign the workflows that matter, and stay accountable until the outcome is delivered. This role puts you inside those transformations from the first diagnostic through to production.

The Role

We are hiring a Head of AI to lead the technical strategy, design, and delivery of our client AI engagements. This is a client-facing role that spans AI strategy and hands-on delivery.

You will be the most senior AI practitioner on every engagement. You will work directly with client leadership to diagnose how their business operates today, identify where AI can deliver structural change, and design the operating model that gets them there. You will then lead the delivery: defining the technical architecture, shaping the specialist team Carbon assembles around you, and overseeing execution end to end.

You will work across multiple client engagements concurrently, each with a different industry context, team size, and product surface. You own the technical relationship with every client, and you make sure every engagement delivers against its business case.

What You’ll Do

  • Lead client AI diagnostics. Run discovery and scoping with client leadership. Audit how the business operates, identify where AI can create the most structural value, and define the workflows that justify transformation.
  • Design the transformation roadmap. Translate the diagnostic into a business case, technical architecture, and operating model the client can commit to. Sequence the work into phases with clear outcomes at each stage.
  • Own technical direction. Set the architectural standards, model choices, evaluation frameworks, and production readiness criteria for every engagement. Make the calls the client cannot make on their own.
  • Lead delivery end to end. Direct the specialist team Carbon assembles for each engagement. Set the delivery cadence, unblock execution, and hold the team accountable to the business case.
  • Act as the client’s trusted advisor. Operate as a senior strategist alongside the client’s executive team. Give clear recommendations, take a position, and say difficult things early.
  • Stay hands-on where it matters. Go deep into the technical work where leadership presence is needed: validating architecture, reviewing production systems, unblocking the team.
  • Codify the methodology. Turn each engagement into reusable operational knowledge. Build the diagnostic frameworks, technical playbooks, and delivery patterns that compound across clients.
  • Build the practice. Work with Carbon’s leadership to construct our AI delivery capability: define the specialist roles engagements need, help select and develop the practitioners, and advise on which industries and client profiles Carbon should pursue next.

What We’re Looking For

  • Production AI experience. You have shipped real AI systems into production, with full ownership of model performance, evaluation, and integration. You know what breaks in production and how to engineer around it.
  • Embedded delivery background. You have worked inside client organizations as the norm of your role: at a top-tier strategy or applied AI consultancy, on a forward-deployed engineering team, or in a comparable setting where senior client engagement was part of the job.
  • Technical foundation. A degree and early-career background in computer science, machine learning, applied mathematics, or a research discipline with an applied AI focus. Prior experience as a software engineer, machine learning engineer, forward-deployed engineer, or applied researcher.
  • Breadth of exposure. A track record across client environments of varying size, industry, and product type. You have seen how…
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