AI Application Platform Engineer

Company: ExecutivePlacements.com

Location: Phoenix, AZ (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-10-24

About this role

Senior Individual Contributor | Full Stack | Generative AI | Agentic Development | Azure
Fully Remote Contract Position | 1099 | 80-95 USD/hr
Position Summary


Osborn & Holloway is seeking a senior
AI Application Platform Engineer
to help design and build an internal application incubation platform that fundamentally changes how business applications are conceived and developed.


The objective is ambitious: create a secure, governed, prompt-driven environment that allows technically curious business users to design and build custom web applications without requiring them to become professional software developers or understand the underlying complexity of enterprise software development.


A business user should be able to describe the problem they are trying to solve, refine requirements conversationally, and progressively create a functioning application. Behind that simple experience, the platform must translate business intent into appropriate application architecture, data structures, user experiences, application code, tests, documentation, and deployment artifacts.


We are not trying to eliminate SDLC. We are trying to encode SDLC into the platform so the business user does not have to perform it manually.
This role will work closely with a complementary
Azure Application Platform & DevSecOps Engineer
. Together, these engineers will design and build a system that builds systems.


What Makes This Role Different


We are specifically looking for an experienced software engineer who has embraced AI-assisted development and emerging vibe coding techniques
without abandoning the engineering principles that make enterprise software secure, maintainable, testable, and supportable
.


The successful candidate will understand traditional software engineering well enough to determine which parts of the development lifecycle can safely be automated, abstracted, or delegated to AIand which cannot.


This is not...

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