AI Platform Engineer. The role, the market signal, and how to build it in your org.
Builds and maintains model-serving, agent-runtime and evaluation infrastructure used by delivery teams. Provides access controls, observability and recovery mechanisms for the configured services.
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.
Source snapshot 2026-07-17. Postings do not confirm that a vacancy is still open.
67 postings · 53 distinct titles · from 264,613 real job postings · see the source snapshot →
What the postings ask this role to do
1,396 tasks extracted from real AI Platform Engineer job descriptions, classified Automate / Augment / Human-only. In this source classification, 0.9% of task statements are automation candidates. The share does not measure working time or demonstrated agent performance.
- Monitor model drift.
- Monitor token usage.
- Monitor gpu utilization.
- Report risks of all types.
- Monitor risks of all types.
- 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.
- 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.
From the market's version of this role to your version of it
Start with the work, not the org chart.
Define what this role will build, configure, decide and check. Connect that work to an enterprise-specific project and agreed assessment evidence.