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.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Job Type
Full-time
Career Level
Senior
Number of Employees
5,001-10,000 employees