Job description

How you’ll make a difference You will drive AI transformation across PMI’s engineering and software delivery lifecycle, executing the architectural and engineering enablement components of the Enterprise Office 2.0 vision. Connecting business strategy, enterprise architecture, and hands-on AI engineering to make enterprise knowledge actionable for teams and AI agents, embed architecture guidance into delivery workflows, and improve engineering performance. What You'll Bring to the Role Bachelor's degree in application development, technology or related field. Equivalent work experience maybe considered Minimum of 8 years of professional work experience in architecting distributed enterprise technical solutions using Microsoft technologies. Minimum of 12 years working on a development team in all phases of the software development lifecycle. Experience with Microsoft Azure, .NET, Azure DevOps, and GitHub-based engineering environments. Experience integrating AI developer tools, enterprise knowledge repositories, and automated code review capabilities. Experience establishing engineering performance baselines and using delivery metrics to guide continuous improvement. Experience and knowledge to lead and collaborate effectively with solution architect and technical leads in the development of a practical Enterprise application architecture. Experience establishing and guiding others in documenting standards, guidelines, best practices, and architecture diagramming. Ability to design enterprise solutions by synthesizing a combination of business, technical, operational needs into a sound application architecture to address these needs. Ability to develop and lead efforts to migrate legacy systems and architectures to a desired future state architecture. Significant experience establishing and managing expectations with business, executive and customer stakeholders.

Requirements

Must-haves

How you’ll make a difference
What You'll Bring to the Role
Bachelor's degree in application development, technology or related field. Equivalent work experience maybe considered
Minimum of 8 years of professional work experience in architecting distributed enterprise technical solutions using Microsoft technologies.
Minimum of 12 years working on a development team in all phases of the software development lifecycle.
Experience with Microsoft Azure, .NET, Azure DevOps, and GitHub-based engineering environments.
Experience integrating AI developer tools, enterprise knowledge repositories, and automated code review capabilities.
Experience establishing engineering performance baselines and using delivery metrics to guide continuous improvement.
Experience and knowledge to lead and collaborate effectively with solution architect and technical leads in the development of a practical Enterprise application architecture.
Experience establishing and guiding others in documenting standards, guidelines, best practices, and architecture diagramming.
Ability to design enterprise solutions by synthesizing a combination of business, technical, operational needs into a sound application architecture to address these needs.
Ability to develop and lead efforts to migrate legacy systems and architectures to a desired future state architecture.
Significant experience establishing and managing expectations with business, executive and customer stakeholders.

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

aiazure

Platform: dayforce
Effort: medium

Benefits

Benefits detected in the listing.

Vision