AI Deployment Engineer

datadotorg; San Francisco (CA); On-site; USD 140,000 - 200,000; Full time

Job summary

datadotorg in San Francisco seeks an AI Deployment Engineer to guide Foundation grantees in identifying, prototyping, and scaling AI use cases that transform their work and impact.

You will work with nonprofit leaders and technical teams, helping them move from idea to production while selecting or building tools that fit their needs.

Qualifications

• 5+ years of software engineering experience.
• Proficiency in Python, Java, C++, and TypeScript/JavaScript.
• Experience with AI/LLM tools in real-world applications.
• Strong communication to bridge technical & non-technical audiences.
• Ability to own problems end-to-end and work independently.

Responsibilities

• Partner with nonprofit grantees to identify practical AI use cases and deploy them.
• Advise on tool selection, architecture, workflows, safety, data handling, and change management.
• Prototype demos and lightweight production systems with grantees.
• Test assumptions during grant design to align funding with viable paths.
• Develop reusable tools for responsible AI deployment.
• Synthesize grantee insights for Foundation product and strategy.
• Build relationships as a trusted technical advisor across nonprofits and philanthropy.

Skills

Python

Java

C++

TypeScript/JavaScript

AI/LLM tools

Communication

End-to-end ownership

Multi-project handling

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.

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