AI-Native Architect

The future of software engineering is AI-native. study and guide industry and government teams’ use of AI in software engineeringdistill best practices and lessons from experiments and experience to shape AI-native software engineeringpilot and transition improvements with organizations and measure their successcreate novel agents and agentic workflows to support software engineeringapply AI to accelerate architecture-scale modernizationhelp organizations establish AI-native software engineering practicesguide organizations in evolving their software with architecture and AI-native approaches Comprehensive knowledge of software architecture and software engineering fundamentalsBroad knowledge of architecture principles, practices, and toolsAbility to quickly learn new problem domains and technologiesA track record of architecting or rearchitecting systems at scaleA track record of aligning development activities with planned architecturesAbility to keep up with and adapt to rapidly changing technical advancesStrong written and verbal communication skills; ability to convey complex technical ideas in a layperson’s terms to stakeholders with different backgroundsProficiency developing task plans or roadmaps to solve complex problemsStrong collaboration skills for working with colleagues and sponsors Willingness and ability to guide and mentor junior team members Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.

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