Software Development Manager, Data Center Design Engineering - BIM & AI Technologies
Amazon.com
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
The AWS Data Center Engineering - BIM & AI Technologies team is seeking an experienced Software Development Manager to lead a team building innovative AI-powered design automation solutions for AWS's global data center infrastructure. You will manage a team of software engineers who are transforming how data center design documentation is created, validated, and delivered at scale.
Building Information Modeling (BIM) represents the digital transformation of the architecture, engineering, and construction industry. Your team will develop production-grade AI systems that automate design tasks in BIM environments, ensure compliance with building codes and design standards, and accelerate facility design workflows. This role requires both deep technical leadership and the ability to bridge software engineering with domain expertise in Building Information Modeling (BIM) and the AECO (Architecture, Engineering, Construction, and Ownership) industry.
You will define the technical vision and roadmap for AI-native design automation, balancing innovation with practical implementation while ensuring alignment with broader organizational goals. This is a greenfield opportunity to build systems that will fundamentally change how Amazon designs and delivers data center facilities worldwide.
Key job responsibilities
- Build and lead a software development team of engineers with diverse skills and domain expertise, including hiring internal and external talent, defining team structure, and establishing team culture and mechanisms
- Define the technical vision and multi-year roadmap for AI-powered BIM design automation systems, balancing innovation with practical implementation while ensuring alignment with broader organizational goals
- Drive architectural decisions for scalable, production-ready systems that integrate BIM platforms, AWS cloud services, and AI/ML technologies to accelerate facility design
- Partner with cross-functional stakeholders including architects, structural engineers, MEP engineers, construction managers, applied scientists, UX designers, and product managers to identify requirements, establish success metrics, and deliver solutions with measurable business impact
- Lead the productionization of ML models developed by applied scientists, collaborating closely with your engineering team to deploy models that maintain appropriate confidence levels and human-in-the-loop controls for professional engineering workflows
- Build relationships with software development managers, engineers, product managers, and technical program managers across upstream and downstream teams to influence product development and drive adoption of AI-powered design tools
- Create mechanisms to evaluate automation performance, and implementing frameworks for continuous improvement
- Oversee resource allocation to ensure appropriate business and staff development goals are met while delivering robust and scalable solutions
- Foster an inclusive team environment that promotes collaboration, technical excellence, and professional growth while mentoring engineers across multiple levels
- Participate in strategic planning to achieve technical and business objectives, working with customers and leadership to construct execution plans that balance innovation with operational requirements
About the team
Why AWS
o Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Diverse Experiences
o Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Work/Life Balance
o We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
o Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
o We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
The AWS Data Center Engineering - BIM & AI Technologies team is seeking an experienced Software Development Manager to lead a team building innovative AI-powered design automation solutions for AWS's global data center infrastructure. You will manage a team of software engineers who are transforming how data center design documentation is created, validated, and delivered at scale.
Building Information Modeling (BIM) represents the digital transformation of the architecture, engineering, and construction industry. Your team will develop production-grade AI systems that automate design tasks in BIM environments, ensure compliance with building codes and design standards, and accelerate facility design workflows. This role requires both deep technical leadership and the ability to bridge software engineering with domain expertise in Building Information Modeling (BIM) and the AECO (Architecture, Engineering, Construction, and Ownership) industry.
You will define the technical vision and roadmap for AI-native design automation, balancing innovation with practical implementation while ensuring alignment with broader organizational goals. This is a greenfield opportunity to build systems that will fundamentally change how Amazon designs and delivers data center facilities worldwide.
Key job responsibilities
- Build and lead a software development team of engineers with diverse skills and domain expertise, including hiring internal and external talent, defining team structure, and establishing team culture and mechanisms
- Define the technical vision and multi-year roadmap for AI-powered BIM design automation systems, balancing innovation with practical implementation while ensuring alignment with broader organizational goals
- Drive architectural decisions for scalable, production-ready systems that integrate BIM platforms, AWS cloud services, and AI/ML technologies to accelerate facility design
- Partner with cross-functional stakeholders including architects, structural engineers, MEP engineers, construction managers, applied scientists, UX designers, and product managers to identify requirements, establish success metrics, and deliver solutions with measurable business impact
- Lead the productionization of ML models developed by applied scientists, collaborating closely with your engineering team to deploy models that maintain appropriate confidence levels and human-in-the-loop controls for professional engineering workflows
- Build relationships with software development managers, engineers, product managers, and technical program managers across upstream and downstream teams to influence product development and drive adoption of AI-powered design tools
- Create mechanisms to evaluate automation performance, and implementing frameworks for continuous improvement
- Oversee resource allocation to ensure appropriate business and staff development goals are met while delivering robust and scalable solutions
- Foster an inclusive team environment that promotes collaboration, technical excellence, and professional growth while mentoring engineers across multiple levels
- Participate in strategic planning to achieve technical and business objectives, working with customers and leadership to construct execution plans that balance innovation with operational requirements
About the team
Why AWS
o Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Diverse Experiences
o Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Work/Life Balance
o We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
o Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
o We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
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