AI Deployment Engineer

datadotorg; United States; Hybrid; USD 350,000 - 450,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

data.org seeks an AI Deployment Engineer to guide nonprofit grantees from idea to production, selecting or building AI tools that fit their needs. You will advise on architecture, data handling, safety, and change management while partnering closely with leaders and technical teams.

You will prototype and build reference implementations, evaluate workflows, and synthesize insights to shape Foundation tooling and grantmaking strategy. Hybrid SF work model. salary above.

Qualifications

• 5+ years as a software engineer, preferably in customer-facing or solutions roles.
• Proficient in Python, Java, C++, and TypeScript/JavaScript.
• Strong understanding of AI/LLM tools and practical real-world use cases.

Responsibilities

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

Skills

Programming languages

Python

Java

C++

TypeScript/JavaScript

AI/LLM tooling

Communication

End-to-end ownership

Tools

AI/LLM tooling

Data infrastructure

Job description

In A Nutshell

Location: Hybrid San Francisco, CA, United States

Salary: $350,000 - $450,000 / year

Job Type: Full-time

Experience Level: Mid-level

Deadline to apply: October 30, 2026

We are seeking an AI Deployment Engineer to advise Foundation grantees on how to identify, implement, and scale AI use cases that transform your 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.

Experience with nonprofits, public-interest technology, grantmaking, education, healthcare, economic opportunity, scientific research, or civic institutions is desirable but not required.

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