New Roles · Engineering AI Builders

AI Platform Engineer. The role, the market signal, and how to build it in your org.

Builds the shared platform every other AI builder builds on: model serving, orchestration infrastructure, evals, guardrails as a service. Posted by 39 companies in the corpus, the clearest sign that enterprise AI is becoming a platform discipline rather than a series of projects.

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.

67 postings · 53 distinct titles · from 264,613 real job postings · see the live data →

Prepare people for this role Explore this role’s hiring evidence Book a 20-minute walkthrough

What the market calls it

AI Platform EngineerSoftware Engineer, AI PlatformStaff AI Platform Engineer

Hiring this role in our corpus right now

Databricks 7Alphasense 4Citi 4Harvey 4Generalmotors 3

What the postings ask this role to do

1,396 tasks extracted from real AI Platform Engineer job descriptions, classified Automate / Augment / Human-only. Only 0.9% can be fully automated: companies are hiring this role for the judgment, not the keystrokes.

Automate

Monitor model drift.
Monitor token usage.
Monitor gpu utilization.
Report risks of all types.
Monitor risks of all types.

Augment

Build and operate distributed systems in production.
Maintain system stability while deploying cutting-edge ai features.
Collaborate with ml engineers and researchers to productionize ai capabilities.
Evaluate, prototype, and integrate the latest advancements in ai and agentic systems as they emerge.
Design and implement distributed systems that power ai agents processing thousands of requests per hour.

Human-only

Own the technical roadmap for the ai platform.
Partner closely with product engineering teams, pms, and design to launch cutting-edge ai products.
Lead technical initiatives across engineering teams.
Make pragmatic trade-offs between ideal solutions and shipped solutions.
Collaborate cross-functionally with product, platform, and research teams to translate customer needs into reliable and performant systems.

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.

Reimagine a workflow →Explore Project Readiness →

Start with the work, not the org chart.

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

Explore the data →Prepare your people →