New Roles · Engineering AI Builders

AI Accelerator (Internal FDE). The role, the market signal, and how to build it in your org.

FDE pointed inward. Embeds inside a business function (Stripe: 20-marketer pods; Box: cross-functional) and builds the agents the function uses daily. Hands-on: deliverable isn't an integration, it's the agent running in the function's weekly cadence, then coaches the function to edit and extend on its own.

In a workforce of people and AI agents, this role takes shape around the workflows it supports. Define its responsibilities and handoffs, then prepare people to perform that work.

6 postings · 4 distinct titles · from 264,613 real job postings · see the live data →

What the market calls it
Forward Deployed AI AcceleratorAI Business Automation EngineerInternal AI Engineer
Hiring this role in our corpus right now
Stripe 3Cat 2Waymo 1

What the postings ask this role to do

87 tasks extracted from real AI Accelerator (Internal FDE) job descriptions, classified Automate / Augment / Human-only. Only 2.3% can be fully automated: companies are hiring this role for the judgment, not the keystrokes.

Automate
  • Develop and maintain program reporting mechanisms for leadership visibility.
  • Document every tool, playbook, and transformation pattern built for use by the broader fda team
Augment
  • Track individual and cohort progress against a defined maturity model
  • Prepare marketers to design, build, and oversee autonomous, multi-agent workflows
  • Build custom tools, agents, automations, and skills tailored to each marketer’s specific responsibilities
  • Identify and document the highest-leverage workflow transformations within the group’s day-to-day work by deeply understanding processes and outputs
  • Document every tool, playbook, and transformation pattern built for use by the broader fda team
Human-only
  • Move every marketer toward self-sustaining, ai-first work
  • Teach marketers to build and iterate on their own tools over time
  • Coach and partner with each marketer through the progression from awareness to first win to regular ai integration to full workflow transformation to self-sufficiency
How we build it in your org

From the market's version of this role to your version of it

1. Define workflow responsibilities
Start with the workflows this role supports: the outcomes, decisions, and handoffs it owns. Task Intelligence examines the tasks within that work and how people and agents can share responsibility.
2. Define your version
Your team composes the job description for your org's variant of the role, grounded in those responsibilities and the task evidence rather than a copied template.
3. Practise and assess readiness
Build on the domain and technical expertise your people already bring. Use relevant Simulations, GenAI Sandboxes, and Skill Validation Assessments to practise changed responsibilities and demonstrate capability. Revisit preparation when the work changes.

Start with the work, not the org chart.

Define what this role will own, then connect those responsibilities to practice and assessment.