AI Application Platform Engineer

AI Application Platform Engineer Senior Individual Contributor | Full Stack | Generative AI | Agentic Development | AzureFully Remote Contract Position | 1099 | 80-95 USD/hrPosition 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 AI—and which cannot. This is not a traditional application-development position, nor is it simply a prompt-engineering role. The successful candidate will help create the platform, agents, reusable patterns, controls, and abstractions that enable other people to build applications safely.

Establish mechanisms for validating AI-generated code before it can progress through the application lifecycle. Full-Stack Application Development· Design and develop modern web applications using appropriate JavaScript/TypeScript frameworks and supporting technologies.· Develop reusable front-end components, APIs, services, templates, application shells, and architectural patterns.· Design practical relational and non-relational data structures appropriate to generated applications.· Build reusable application capabilities for authentication, authorization, configuration, logging, error handling, notifications, and other common enterprise requirements.· Create application scaffolding that allows generated solutions to begin from approved architectural patterns rather than unrestricted blank-slate code generation.· Ensure generated applications remain understandable, maintainable, testable, and transferable to professional engineering teams when required. Business-to-Application Translation· Help design conversational experiences that allow business users to describe problems in their own language rather than in software-development terminology.· Build mechanisms for converting business requirements into structured development artifacts.· Incorporate business-analysis concepts into the application-generation process, including requirements clarification, use cases, acceptance criteria, process flows, and data requirements.· Identify when a user’s requested solution has evolved beyond the boundaries appropriate for citizen development.· Design escalation or “graduation” mechanisms that transition complex or high-risk applications into formal engineering and governance processes. Automated Quality and SDLC· Build automated testing and validation into the generation process.· Integrate generated applications with Git-based source control and Azure DevOps.· Support automated generation of documentation, work items, test cases, release artifacts, and other SDLC assets.· Collaborate on mechanisms that ensure applications follow established DEV, test/UAT, and production promotion paths.· Design for traceability between user intent, requirements, generated code, testing, and deployed functionality. Platform Development· Work closely with the Azure Application Platform & DevSecOps Engineer to integrate application generation with automated Azure provisioning.· Define clear interfaces between the AI/application-generation layer and the underlying infrastructure/governance layer.· Participate in architectural decisions governing the overall incubation platform.· Help establish reusable standards that allow the platform to support progressively broader application use cases.