Lead AI Solutions Engineer, AI Labs
Quick answer
NPR is hiring a hybrid Lead AI Solutions Engineer based in Washington, D.C. paying $187,000-$208,000 to design and deploy scalable Generative AI solutions within their new AI Labs team.
- Role
- Lead AI Solutions Engineer, AI Labs
- Organization
- NPR
- Location
- Washington, D.C. (with residency in D.C., MD, or VA)
- Work setup
- Hybrid
- Level
- Senior
- Compensation
- $187,000 - $208,000
- Category
- Engineering & Technology
The role
NPR is establishing a new AI Labs team and seeking a Lead AI Solutions Engineer to spearhead the development and implementation of Generative AI solutions. This foundational role focuses on enhancing content metadata and editorial efficiency through scalable AI architectures and rigorous technical best practices. The ideal candidate will lead cross-functional collaboration and integrate ethical AI principles into production-ready systems.
What you'll do
- Design and deploy scalable Generative AI solutions to enhance content metadata.
- Establish technical best practices for MLOps, RAG, and model evaluation.
- Collaborate cross-functionally to translate product roadmaps into production systems.
- Implement data-driven methods to optimize AI model performance and scalability.
- Integrate ethical AI principles and compliance standards into all product designs.
What it takes
- 8+ years of professional software development, data science, or ML engineering experience.
- 2+ years of hands-on experience with generative AI or machine learning products.
- Expert proficiency in Python and experience validating technical feasibility.
- Deep understanding of LLMs, vector databases, embeddings, and fine-tuning.
- Proven ability to articulate complex technical architectures to non-technical stakeholders.
What you'll bring
How we treat you
Comprehensive benefits including health, dental, vision, life/AD&D insurance, long-term and short-term disability, and voluntary retirement savings.
Frequently asked questions
Is this a remote role?
No, this is a hybrid role requiring the employee to be in the office at the Washington, D.C. facility at least two days a week, and they must reside in D.C., MD, or VA.
What is the compensation for this position?
The anticipated salary range for this role is $187,000 - $208,000 annually, plus comprehensive benefits.
What are the core technical requirements?
Candidates must have over eight years of software or ML engineering experience, with at least two years specifically in generative AI, plus expert-level proficiency in Python.
How do I apply?
The job description does not provide a specific deadline, but interested candidates can find more information and apply via the NPR careers page.
How to apply
Apply directly on NPR's site. We link straight through — no resume parsing, no profile to fill out.
This listing is aggregated from a third-party source and its summary may be auto-generated, so details can be inaccurate or out of date. ForGood is not the employer and is not liable for the content — please verify everything on NPR's official posting before applying.