The role involves independently leveraging artificial intelligence tools and practices throughout the software development lifecycle to deliver high-quality solutions. The engineer will lead architecture discussions by testing design hypotheses and developing complex, scalable, and secure design specifications. Responsibilities include creating and executing comprehensive test strategies to ensure solution quality and security while driving automation in production deployments. The individual will collaborate across internal and external teams to manage dependencies and achieve shared goals. Furthermore, the role requires writing extensible, maintainable, and performant code while upholding standards of security and compliance. The engineer will also champion AI-native development by responsibly using AI across the development lifecycle and coaching others in these practices.

The role requires a Bachelor's Degree in Computer Science or a related technical field. Candidates must possess at least four years of technical engineering experience with coding in languages such as C, C++, C#, Java, JavaScript, or Python. Preferred qualifications include a Master's Degree with six years of experience or a Bachelor's Degree with eight years of experience. Additionally, experience with AI capabilities like Azure OpenAI, Cognitive Services, and machine learning models is considered beneficial.