Responsibilities:Codes solutions and unit test to deliver a requirement/story per the defined acceptance criteria and compliance requirementsDesigns, develops, and modifies architecture components, application interfaces, and solution enablers while ensuring principal architecture integrity is maintainedMentors other software engineers and coach team on Continuous Integration and Continuous Development (CI-CD) practices and automating tool stackExecutes story refinement, definition of requirements, and estimating work necessary to realize a story through the delivery lifecyclePerforms spike/proof of concept as necessary to mitigate risk or implement new ideasAutomates manual release activitiesDesigns, develops, and maintains automated test suites (integration, regression, performance)Develop and enhance enterprise Generative AI platform capabilities, reusable services, and self-service tools. The successful candidate will partner with senior engineers, architects, product owners, and data scientists to develop scalable, secure, and resilient solutions leveraging modern AI frameworks, cloud-native technologies, distributed computing platforms, and enterprise engineering practices.