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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Technical Program Manager, Data Center Design Engineering - BIM & AI Technologies - **Company:** Amazon.com, Inc. - **Location:** Seattle, WA, United States - **Experience:** Expert - **Salary:** $177,000.0 - $239,400.0 - **Contract:** Permanent contract - **Skills:** Computer-Aided Design, Artificial Intelligence, Amazon Web Services, Building Information Modeling, Software Design Patterns, Machine Learning, Software Engineering, Cloud Platform System, AWS Data Analytics - **Published:** July 8, 2026 - **Apply:** https://www.jobmonkeyjobs.com/career/27831668/Principal-Technical-Program-Manager-Data-Center-Design-Engineering-Bim-Ai-Technologies-Washington-Seattle-7375 ## About the Role 10+ years of working directly with engineering teams experience - 10+ years of technical product or program management experience - 5+ years of software development experience - Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems - Experience managing programs across cross functional teams, building processes and coordinating release schedules - Experience owning/driving roadmap strategy and definition Preferred Qualifications - 10+ years of hands-on work managing complex technology projects experience - Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules - Experience with AI/ML technologies and their practical applications in domain-specific products - Experience working with the Architecture, Engineering, Construction (AEC) industry or related domains, including BIM, CAD, 3D geometry, or construction documentation workflows ## Description The AWS Data Center Design Engineering - BIM & AI Technologies team is seeking a Principal 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 and deliver ambiguous, very large, and complex programs that span multiple organizations and technology domains - Identify risks and opportunities in technical strategies, system architectures, and engineering organizational structures - Influence and advise VP-level leadership across data center engineering organization on technical investment decisions, organizational alignment, and long-term platform strategy - Establish metrics, dashboards, and regular reporting mechanisms to provide stakeholders and senior leadership clear insight into program health, delivery timelines, and business impact - Force-multiply across the TPM community - establish frameworks, mechanisms, and best practices that elevate the effectiveness of multiple teams and programs simultaneously - Drive clarity in highly ambiguous environments where the business strategy, architectural approach, and even the problem definition may not yet exist ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Deployed ML models need your feedback too](https://www.wearedevelopers.com/videos/161-deployed-ml-models-need-your-feedback-too) - [Containers in the cloud - State of the Art in 2022](https://www.wearedevelopers.com/videos/410-containers-in-the-cloud-state-of-the-art-in-2022) - [30 powerful AWS hacks in just 30 minutes: Boost your developer productivity](https://www.wearedevelopers.com/videos/1624-30-powerful-aws-hacks-in-just-30-minutes-boost-your-developer-productivity) - [Reliable scalability: How Amazon.com scales on AWS](https://www.wearedevelopers.com/videos/983-reliable-scalability-how-amazon-com-scales-on-aws) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [From developer to manager – what does it take to become an engineering manager?](https://www.wearedevelopers.com/magazine/42-from-developer-to-manager-what-does-it-take-to-become-an-engineering-manager) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Top Must-Visit Developer Conferences in the US in 2026](https://www.wearedevelopers.com/magazine/679-top-must-visit-developer-conferences-in-the-us-in-2026)