Description

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 Design Engineering - BIM & AI Technologies team is seeking a Senior Technical Program Manager to drive the end-to-end delivery of AI-powered design automation programs for AWS's global data center infrastructure. In this role, you will own complex, cross-functional programs that bring generative AI capabilities to architects, engineers, construction managers, and facility operators, transforming how data center design documentation is created, validated, and delivered at scale.

You will work at the intersection of Building Information Modeling (BIM), generative AI, and cloud-based platforms, partnering with product managers, software engineers, applied scientists, and Architecture, Engineering, Construction, and Ownership (AECO) domain experts to plan, execute, and launch programs that accelerate facility design workflows. You will translate ambiguous business and technical requirements into structured execution plans, drive cross-organizational alignment, and ensure AI-powered features maintain the high trust bar that engineering professionals demand. The ideal candidate combines deep technical program management expertise with the ability to navigate ambiguity, thrives in fast-paced environments, and is passionate about applying AI to real-world engineering challenges at unprecedented scale.

Key job responsibilities
- Own the end-to-end lifecycle of complex, cross-functional AI/ML programs for BIM design automation, from requirements development through validation in an agile environment

- Drive engineering project execution across applied science, software engineering, and AECO domain expert teams, making technical trade-offs and resolving blocking issues to keep programs on track

- Partner with applied scientists and software engineers to create high-level designs and architectural approaches for GenAI-powered BIM solutions, ensuring architectures scale to match the business case

- Translate complex AECO workflows and customer needs into clear technical requirements and executable implementation plans that span multiple systems and teams

- Develop structured risk management approaches, proactively identifying and mitigating risks before they become roadblocks, and coordinate technical escalations with recommended solutions

- Build alignment across engineering, science, UX design, product, and AECO domain expert teams, managing dependencies and driving clarity in ambiguous problem spaces

- Establish metrics, dashboards, and regular reporting mechanisms to provide stakeholders and senior leadership clear insight into program health, delivery timelines, and business impact

- Engage directly with internal customers, including data center design engineers, construction managers, and facility operators, to deeply understand workflows, pain points, and validate that delivered solutions meet their needs

- Build sustainable, scalable program management processes and frameworks that improve execution quality and velocity across the organization

- Communicate complex technical concepts to non-technical stakeholders and leadership, representing trade-offs and potential solutions clearly in both written and verbal formats

About the team
Why AWS
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
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
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
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
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.