Business Systems and AI Engineer

datadotorg; New York (NY); Sur place; USD 155 000 - 175 000; Plein temps

Résumé du poste

datadotorg in New York City seeks a mid-level Business Systems and AI Engineer to lead AI tooling initiatives and integrate systems like Salesforce, Box, and Postgres. You will help staff adopt AI, build scalable tools, and ensure maintainable, well-documented software.

You will collaborate across program, grants, finance, and operations, translating needs into practical improvements while prioritizing data privacy and security.

Qualifications

• 5+ years of professional experience in IT/AI-related roles with a relevant degree or equivalent.
• Strong programming skills in Python or TypeScript and API/integration work.
• Experience with Git, code reviews, testing, and GitHub Actions CI/CD pipelines.
• Practical experience using AI-assisted development tools and explaining code.
• Experience applying AI tools to day-to-day work and evaluating usefulness.
• Solid understanding of data privacy and security in AI tooling.
• Ability to communicate with nontechnical colleagues and prioritize work.
• Strong documentation and teaching skills for varied audiences.

Responsabilités

• AI direction and shared tools: define priorities, evaluate options, and manage costs.
• Develop and maintain AI tools, agents, and integrations across systems.
• Prepare data for AI, secure access, and minimize oversharing in MS 365 and Box.
• Establish standards for evaluation, privacy, security, and responsible use.

Connaissances

5+ years of related professional exp &

Python or TypeScript

APIs & integrations

SQL knowledge

Git & GitHub

CI/CD (GitHub Actions)

AI-assisted development tools

data privacy & security

technical communication

Formation

Bachelor's degree in CS/SE/AI or related field

Outils

Git

GitHub

GitHub Actions

Salesforce

Box

PostgreSQL

MCP servers

Description du poste

In A Nutshell

Location

On Site New York City, NY, United States

Salary

$155,000 to $175,000 / year

Job Type

Full-time

Experience Level

Mid-level

Deadline to apply

November 13, 2026

This is a new position on the Information Technology and Grants Management team. The role combines hands-on engineering with responsibility for shared AI tools and staff learning. Working directly with program, grants, finance, communications, and operations colleagues, the Business Systems and AI Engineer will translate needs into practical improvements and help staff use AI effectively. A central responsibility is making the Foundation's custom software understandable, documented, and maintainable by others over time.

Responsibilities

AI direction and shared tools

• Help develop and implement the Foundation's AI priorities and choose the right platforms and tools. Evaluate needs and options, including purchasing services, building tailored solutions, and continuing existing approaches, considering value, cost, reliability, security, and long-term maintenance.
• Develop and maintain centrally supported AI tools, agents, and integrations, including tools that help staff search and draw on institutional knowledge. Manage access, evaluate output quality, and monitor usage and operating costs.
• Help get the Foundation's data ready for AI, including cleaning up data, tightening file permissions, and reducing oversharing in Microsoft 365 and Box.
• Assess relevant AI developments and explain their practical implications to staff and leadership. Help establish standards for evaluation, human review, data privacy and security, and responsible use consistent with Foundation policies.

Business systems and sustainable engineering

• Work with staff to understand their needs and lead prioritized projects from discovery and design through implementation, rollout, and ongoing support.
• Build and maintain applications, APIs, automations, and integrations connecting Salesforce, Microsoft 365, Box, and external research and data sources. Improve the grants management system and related reporting and data quality.
• Work within the Foundation's existing systems, including Salesforce, Microsoft 365, Box, internal APIs and Model Context Protocol (MCP) servers, and Postgres, using AI-assisted development tools. Design and maintain the CI/CD pipelines that test and deploy changes.
• Review and strengthen existing custom software. Maintain documentation, tests, deployment procedures, and operational guides so another qualified person can understand, modify, and support the systems.
• Operate services reliably through monitoring, troubleshooting, and incident response. Coordinate with external partners on implementation, security, and specialist support.

Staff learning and collaboration

• Develop practical training, guides, and individual support that help colleagues use approved AI tools effectively, understand their limitations, and review their outputs.
• Help staff assess experiments and, where appropriate, turn useful approaches into shared, supported tools. Gather feedback and evaluate whether new tools improve the work they were designed to support.
• Provide backup technology support when other IT staff are unavailable, such as help desk requests, A/V for meetings, and enterprise software administration, and coordinate with the Foundation’s managed service provider to resolve issues.

Skillset

Required

• 5+ years of related professional experience and a bachelor's degree in computer science, software engineering, AI, or a related field (or an equivalent combination of education and experience).
• Strong programming skills in Python or TypeScript, experience building APIs and integrations, and working knowledge of SQL.
• Experience with Git and GitHub, testing, code review, and CI/CD pipelines such as GitHub Actions, and the ability to understand and improve an existing codebase.
• Practical experience using AI-assisted development tools such as Claude Code or Codex, with the ability to explain, test, debug, and take responsibility for the resulting code.
• Experience applying AI tools to day-to-day work and evaluating their usefulness and limitations.
• Strong understanding of data privacy and security considerations when building AI tools.
• Ability to work closely with nontechnical colleagues, clarify needs, explain trade-offs, and make sound decisions about scope and priorities.
• Strong communication and documentation skills, and the ability to teach and support colleagues with different levels of comfort with technology.

Preferred

Candidates need not have experience with every technology below. We value strong engineering judgment and the ability to learn.

• Direct experience with Model Context Protocol (MCP) servers or integrations, LLM APIs, AI agents, retrieval-augmented generation, or vector search.
• Developing staff training, guiding technology adoption, or administering shared AI tools.
• Salesforce administration or development, including Flow, Apex, or SFDX; or comparable experience with complex business applications.
• Cloud or serverless platforms, Postgres, and production monitoring and incident response.
• Experience in philanthropy, research administration, or another nonprofit setting.

Spot any inaccurate information? Have a job to share? Let us know.