We are seeking an Application Architect with a strong background in designing and delivering scalable, microservices-based platforms and modern cloud-native solutions. This role involves driving business transformation through AI-driven innovation, developer productivity platforms (DevEx), and data-centric architectures. The ideal candidate will have a proven track record of working with cross-functional teams to deliver high-performance systems, embedding AI-assisted development workflows, and improving engineering velocity through automation, CI/CD, and intelligent tooling. You will be responsible for aligning technology strategies with business goals to deliver measurable outcomes in quality, efficiency, and customer experience. This is a hands-on coding architect position where you will work with engineering and business partners to define and build complex solutions that drive value through business process simplification, automation, new product capabilities, and AI-driven innovations. You will demonstrate strong capabilities in assessing business needs while providing creative and effective solutions aligned with modern AI and data-driven technology standards. The role includes leading product solutioning for end-to-end new innovations, embedding AI capabilities into core product workflows with iterative improvements, and architecting and enabling developer experience platforms (DevEx) that incorporate AI tooling for coding, debugging, code review, and knowledge discovery. A strong emphasis will be placed on customer journey, product quality, performance tuning, troubleshooting, and continuous development. You will establish best practices for AI-driven developer efficiency, including automated code generation, intelligent testing, documentation generation, and refactoring. The role requires a proven ability to improve developer productivity through AI-assisted coding practices, including code generation, automated unit test creation, and documentation synthesis. Experience defining governance and guardrails for AI-assisted development, including code quality, security, and compliance considerations, is essential. Familiarity with integrating AI tools into developer workflows (IDEs, CI/CD pipelines, code review systems) and the ability to evaluate and adopt emerging AI productivity platforms to enhance engineering velocity and efficiency are also key.
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Job Type
Full-time
Career Level
Senior