The AI Enabled Delivery Engineer will select, implement, and operationalize tools that accelerate software delivery, reduce manual effort, improve code quality and reduce defects in productionized solutions.
You will enable and support teams to update workflows, adopt best practices and implement tooling effectively, and support leaders in measuring KPIs across adoption, impact, and value.
Solicit feedback from key stakeholders in Enterprise Digital Technology and divisional engineering teams to identify efficiency opportunities.
Create and establish buy-in for a software engineering strategy that implements AI tooling to address identified opportunities.
Responsible for evaluating/selecting tools aligned to strategy.
Lead implementation, integration, and rollout of selected tools.
Serve as technical lead for adoption of tooling for pilot projects.
Support Agile coaching partners during pilot phases.
Act as SME for selected tools and author enablement playbooks and enterprise-wide guidance documents.
Identify KPIs to measure adoption, impact and value.
Coach resource managers on implementation and reporting.
Participate in AI governance and collaborate with intranet team to publish guidance ('AI Hub').
Serve as domain expert in all aspects of the software delivery life cycle (SDLC), with an emphasis on Agile and modern development methodologies.
Special projects/assignments as required.

Bachelor's Degree in Computer Science, Engineering, Computer Information Systems, or a similar degree required.
10+ years of professional experience.
5+ years of experience acting as a technical lead for projects and resources.
5+ years of experience as an engineering practitioner in modern software development methodologies (Agile, Git, DevOps, CI/CD, VCS).
5+ years of experience with Cloud native technologies (PaaS, SaaS & Azure, AWS or GCP) and relative design concepts (distributed, event driven architectures).
5+ years of experience with writing code in multiple languages, frameworks and environments.
2+ years of experience using a coding agent such as Github Co-Pilot, Cursor AI, Codex
Master’s degree in MIS, MBA or related technical disciplines preferred.
Demonstrated expertise in a variety of systems development concepts, practices, and procedures
Experience designing and/or working with distributed, event-driven architectures.
Demonstrated experience working with business stakeholders, mapping processes and identifying user requirements.
Experience understanding, evaluating, and recommending changes to business processes.
Experience developing business process methodologies that deliver measurable results.

Senior Principal Solution Architect, AI Enhanced Software Delivery

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