AI Deployment Engineer

Data; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Data seeks an AI Deployment Engineer to advise Foundation grantees on identifying, implementing, and scaling AI use cases that transform their work and impact.

You’ll work with nonprofit leaders and technical teams to move from idea to production while selecting or building tools that fit their needs. You’ll help scale AI responsibly within philanthropic contexts and collaborate across the nonprofit ecosystem.

Qualifications

• Have 5+ years of experience as a software engineer, ideally in a forward-deployed, solutions, or customer-facing engineering setting.
• Strong grasp of AI/LLM tools and real-world applications; built tooling, data infrastructure, evals, or agent harnesses.
• Clear communication with technical and nontechnical audiences and translating 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.

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

Skills

Software engineer

AI/LLM tooling

Technical communication

Rapid learning

Product instincts

End-to-end ownership

Independent work

Cross-functional collaboration

Tools

AI tooling

Data infrastructure

Evaluations

Agent harnesses

Job description

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.
• 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.