The AWS Data Center Engineering - BIM & AI Technologies team is pioneering the next generation of AI-powered design automation for AWS's global data center infrastructure. We're seeking an experienced Software Development Engineer to architect and deliver innovative solutions that transform how data center design documentation is created, updated, and reviewed at scale. As an SDE II on this team, you'll lead the design and implementation of novel generative AI applications that serve architects, engineers, construction managers, and facility operators. Working alongside software engineers, applied scientists, UX designers, product managers, and industry domain experts, you'll architect scalable production-ready systems that integrate BIM platforms, desktop applications, cloud services, and AI technologies to accelerate facility design workflows. This is an opportunity to learn about the Architecture, Engineering, Construction, and Ownership (AECO) industry while applying your software engineering skills to productionize ML models, mentor junior engineers, and solve complex design automation challenges for the building engineering and construction industry at an unprecedented scale.

Design and architect scalable solutions for complex problems in the BIM and design automation space, balancing technical excellence with business impact

Lead the development of new features and services that deliver data center design projects faster while maintaining high quality standards

Write clean, maintainable, and well-documented code following software engineering best practices and establish coding standards for the team

Collaborate with applied scientists to productionize ML models for BIM and AECO applications, ensuring robust deployment and monitoring

Work closely with product, design, science, and AECO subject matter experts to deliver novel BIM and AI solutions

Design and implement integrations between BIM platforms (e.g., Autodesk Platform Services, Revit, etc.) and AWS services with focus on reliability and scalability

Implement human-in-the-loop (HITL) workflows that combine engineering expertise with AI automation, ensuring AI systems augment rather than replace professional judgment

Drive technical discussions and build consensus on architectural decisions within your team and across partner teams

Mentor junior engineers through code reviews, design discussions, and knowledge sharing

Advocate for critical customers and stakeholders during team prioritization and planning, influencing roadmap decisions