Senior AI Platform Engineer
MaintainX (An Autodesk Company)
Company websitegetmaintainx.com (MaintainX (An Autodesk Company), opens in new tab)
Base salary $132K to $262K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA
- WorkplaceHybrid
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
About this job
MaintainX is a leading mobile-first work execution platform for industrial and frontline teams. More than 15,000 customers, including McDonalds, Michaels, Cintas, Redimix, and U.S. LBM, use MaintainX to cut unplanned downtime and run better operations, across 16 million managed assets and 92 million completed work orders.
In August 2026 MaintainX became part of Autodesk, joining Autodesk Operations Solutions, the organization unifying Autodesk's operations platform alongside Tandem, FlexSim and Fusion Operations. Autodesk's strategy is to converge design, make and operate into one continuous lifecycle: design an asset, build it, run it, then feed what you learn running it back into the next design. Autodesk had design and make. Operate is the phase that tells you what actually happened, and it is ours.
We’re looking for a Senior AI Platform Engineer to build the shared systems that enable teams across MaintainX to ship AI-powered products reliably at scale. You will design and operate internal services that standardize how AI workloads run in production, with clear abstractions, safe defaults, and strong observability. This role is focused on platform leverage- reducing operational and cognitive load for other developers while raising the bar for reliability, performance, and delivery speed across the AI stack.
What you’ll do:
Build and operate scalable backend services and internal APIs for the AI platform.
Integrate LLMs and AI tool execution into reliable, production-ready workflows.
Own production reliability for AI platform infrastructure through observability, alerting, and incident response.
Improve performance and cost efficiency of AI runtimes through profiling, tuning, and capacity planning.
Contribute to shared infra: CI/CD, observability, deployments
About you:
5+ years of experience in Python backend development + systems design experience.
Experience shipping AI-powered or LLM-integrated backend systems.
Comfort working across multiple layers (services, data, infrastructure, AI tooling).
Experience with cloud infrastructure (AWS/GCP/Azure) and IaC (Terraform/Pulumi).
Experience with distributed systems and asynchronous processing.
Have familiarity with AI or data-heavy services where reliability and cost matter at scale.
Our mission is to keep the physical world running. Factories, fleets, hospitals and campuses stay up because the people who maintain them have tools worth using. That is what we build.
Compensation and benefits. Base pay is one part of the package. Depending on the role, compensation may also include commission, an annual bonus and equity. Benefits differ by country. For roles in the United States, Autodesk’s benefits are described at benefits.autodesk.com. For roles in Canada and other countries, the plan differs on health coverage, retirement and leave, and your recruiter will walk you through it.
Belonging. We take pride in a culture where everyone can thrive. More at autodesk.com/company/global-belonging. More on where this is going: Autodesk CEO Andrew Anagnost on building the future of connected operations, and AOS SVP Stephen Hooper on welcoming MaintainX to Autodesk.
Source: MaintainX (An Autodesk Company) on Ashby · View original posting (opens in new tab)
Pay in context
This role's base floor ($132,000) is above 13% of the 4,289 Software Engineering roles in California listed on this site; 16 others list the same floor. Their median floor is $176,000; the middle half runs from $149,100 to $203,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.
This listingSenior AI Platform Engineer$132K to $262K
Senior Applied Machine Learning Developer, Asset Intelligence$131,400 to $236,000
Senior Applied Scientist, Parts Intelligence & Inventory Optimization$131,400 to $236,000
Senior Platform Developer, AI Builder$130K to $236K
Senior Technical Product Manager, IAM$128K to $228K
Manager, Integration Delivery - Professional Services$122K to $172K
Solutions Architect, Integrations$122K to $172K
Chart as a table
| Role | Published base |
|---|---|
| Senior AI Platform Engineer (this listing) | $132K - $262K |
| Senior Applied Machine Learning Developer, Asset Intelligence | $131,400 - $236,000 |
| Senior Applied Scientist, Parts Intelligence & Inventory Optimization | $131,400 - $236,000 |
| Senior Platform Developer, AI Builder | $130K - $236K |
| Senior Technical Product Manager, IAM | $128K - $228K |
| Manager, Integration Delivery - Professional Services | $122K - $172K |
| Solutions Architect, Integrations | $122K - $172K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-09-21
Where this pay comes from
Location as the employer wrote it: San Francisco • United States
USD 132,000 – 262,000 · 1 YEAR · Salary
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.