Primary Work Address: 4000 Jones Bridge Road, Chevy Chase, MD,
20815
Current HHMI Employees, click here to apply via your Workday account.
HHMI is focused on supporting and moving science forward in a variety of different ways ranging from conducting basic biomedical research, empowering educators, inspiring students, developing the next generation of scientists – even stretching into film and media production. Our Headquarters is in the greater Washington, DC metro area and is home to over 300 employees with expertise in investments, communications, digital production, biomedical sciences, and everything in between. The work housed here supports and augments the groundbreaking research conducted in HHMI labs across the nation. As HHMI scientists continue to push boundaries in laboratories and classrooms, you can be sure that your contributions while working here are making a difference.
The AI Accelerator exists to turn AI into daily reality across HHMI’s administrative and operational functions. This role builds the data-engineering foundation every AI application and knowledge layer at HHMI runs on.
The work is hands-on. This person implements the pipelines, transformation patterns, and orchestration framework that turn HHMI’s institutional content into governed, AI-ready data. They own the day-to-day execution of the data-engineering side of the AI fabric — pipeline development, medallion curation, workflow-orchestration framework, and governance implementation — under the design authority of the Principal Knowledge & Data Architect.
This role works closely with the Principal Knowledge & Data Architect (who owns the knowledge and retrieval layer’s design), the AI Developer (who consumes what this role builds), and Operations Capabilities’ Data Integration Engineer (who lands source-system data at the interface). The AI Data Engineer is the seat that connects those layers into working data flow.
HHMI’s Principal K&D Architect designs the knowledge and data foundation for institutional AI, but the foundation only comes to life when someone builds and operates the pipelines that carry data through it. Without this role, our AI systems either wait on data that isn’t ready or consume content whose quality can’t be guaranteed. This role is what makes the K&D Architect’s design real day-to-day — and it’s the same role that keeps it working over years, as content evolves and models change.
This position works on a hybrid schedule, reporting in-person three days a week to our headquarters in Chevy Chase, Maryland.
We encourage qualified candidates who are eligible to work in the United States to apply. Please note, we are not able to sponsor a visa for this position at this time.
What you will do
Current HHMI Employees, click here to apply via your Workday account.
HHMI is focused on supporting and moving science forward in a variety of different ways ranging from conducting basic biomedical research, empowering educators, inspiring students, developing the next generation of scientists – even stretching into film and media production. Our Headquarters is in the greater Washington, DC metro area and is home to over 300 employees with expertise in investments, communications, digital production, biomedical sciences, and everything in between. The work housed here supports and augments the groundbreaking research conducted in HHMI labs across the nation. As HHMI scientists continue to push boundaries in laboratories and classrooms, you can be sure that your contributions while working here are making a difference.
The AI Accelerator exists to turn AI into daily reality across HHMI’s administrative and operational functions. This role builds the data-engineering foundation every AI application and knowledge layer at HHMI runs on.
The work is hands-on. This person implements the pipelines, transformation patterns, and orchestration framework that turn HHMI’s institutional content into governed, AI-ready data. They own the day-to-day execution of the data-engineering side of the AI fabric — pipeline development, medallion curation, workflow-orchestration framework, and governance implementation — under the design authority of the Principal Knowledge & Data Architect.
This role works closely with the Principal Knowledge & Data Architect (who owns the knowledge and retrieval layer’s design), the AI Developer (who consumes what this role builds), and Operations Capabilities’ Data Integration Engineer (who lands source-system data at the interface). The AI Data Engineer is the seat that connects those layers into working data flow.
HHMI’s Principal K&D Architect designs the knowledge and data foundation for institutional AI, but the foundation only comes to life when someone builds and operates the pipelines that carry data through it. Without this role, our AI systems either wait on data that isn’t ready or consume content whose quality can’t be guaranteed. This role is what makes the K&D Architect’s design real day-to-day — and it’s the same role that keeps it working over years, as content evolves and models change.
This position works on a hybrid schedule, reporting in-person three days a week to our headquarters in Chevy Chase, Maryland.
We encourage qualified candidates who are eligible to work in the United States to apply. Please note, we are not able to sponsor a visa for this position at this time.
What you will do
- Build the AI-facing data pipelines: ingestion from the landing zone Operations Capabilities delivers, transformation through raw → bronze → silver → gold, and serving of governed, AI-ready content for downstream consumption.