AI Deployment Engineer
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At a glance
Job overview
datadotorg is hiring an AI Deployment Engineer. The AI Deployment Engineer will advise Foundation grantees on identifying, implementing, and scaling AI use cases to transform their work. This role involves partnering with nonprofit leaders and technical teams, guiding them from ideation to production, and selecting or building appropriate AI tools. The engineer will also prototype solutions and develop reusable tools for responsible AI deployment.
Key focus areas include Partner closely with high-impact nonprofit grantees as a technical thought partner, Advise nonprofits on tool selection, implementation architecture, workflow redesign, evaluation, safety, data handling, and change management, and Prototype alongside grantees, building demonstrations, reference implementations, integrations, and lightweight production systems.
Successful candidates bring 5+ Years Software Engineer Experience. Important skills include Python, Java, C++, TypeScript, JavaScript, and AI/LLM Tools. Preferred (not required): Tool Selection, Implementation Architecture, Workflow Redesign, and Evaluation.
Skills & qualifications
Skills
Qualifications
Full job description
In A Nutshell Location
On Site San Francisco, California, United States
Job Type
Full-time
Experience Level
Senior-level
Deadline to apply
August 28, 2026
We are seeking an AI Deployment Engineer to advise Foundation grantees on how to identify, implement, and scale AI use cases that transform their work and impact. You’ll work directly with nonprofit leaders and technical teams, helping them move from idea to prototype to production while choosing (or building) the AI tools that best fit their needs.
Responsibilities
- Partner closely with high-impact nonprofit grantees as a technical thought partner, helping them identify practical AI use cases and move from ideation to successful deployment.
- Advise nonprofits on tool selection, implementation architecture, workflow redesign, evaluation, safety, data handling, and change management.
- Prototype alongside grantees, building demonstrations, reference implementations, integrations, and lightweight production systems that make AI adoption concrete.
- Pressure-test technical assumptions during grant design and due diligence so Foundation funding is matched with credible implementation paths.
- Develop reusable tools that help nonprofits and philanthropies deploy AI responsibly and effectively.
- Synthesize insights from grantee work into feedback for the Foundation’s product, tooling, and grantmaking strategy.
- Build strong relationships across the nonprofit and philanthropy ecosystem, serving as a trusted technical advisor to organizations working on urgent human needs. Skillset
- Have 5+ years of experience as a software engineer, ideally in a forward-deployed, solutions, or customer-facing engineering setting; experience as a founder or founding engineer is highly valued.
- Strong coder with demonstrated proficiency in programming languages such as Python, Java, C++, TypeScript/JavaScript
- Have a strong grasp of AI/LLM tools and best practices in real world applications, having built tooling, data infrastructure, evals, or agent harnesses that turn messy real-world data into something usable and trustworthy
- Can communicate clearly with both technical and nontechnical audiences and translate organizational goals into concrete technical plans.
- Are energized by an unfamiliar technical domain and have a track record of going deep fast.
- Bring strong product instincts, user empathy, and a pragmatic sense of what will actually work inside resource-constrained organizations.
- Own problems end-to-end and are willing to pick up whatever knowledge you’re missing to get the job done.
- Are an effective, high throughput operator who can drive multiple concurrent projects, prioritize ruthlessly, and operate independently with little oversight.
- Have a humble attitude, an eagerness to help colleagues and partners, and a desire to make the broader mission succeed. Apply Now Spot any inaccurate information? Have a job to share? Let us know.
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