AI Engineer for Production-Ready Humanitarian Tech

Doctors Without Borders/Médecins Sans Frontières - USA; New York (NY); On-site; USD 102,000 - 153,000; Full time

Job summary

Doctors Without Borders/Médecins Sans Frontières USA seeks an AI Engineer to lead AI projects from discovery through implementation. You will build and maintain secure, production-ready AI workflows that support MSF USA’s priorities and governance.

Collaborate with leadership and stakeholders on architecture, data integration, and risk management. The role focuses on high-value opportunities within an evolving pipeline, delivering scalable AI capabilities while ensuring security, logging, and

Qualifications

• 5+ years of relevant experience in AI engineering, software engineering, data engineering, or related field.
• Experience building production-ready AI applications and workflows (e.g., chatbots, RAG, automation).
• Experience integrating AI solutions with existing data, applications, APIs, and cloud platforms.
• Strong programming experience in at least one programming language and system design skills.
• Excellent written and verbal communication; ability to collaborate with stakeholders.

Responsibilities

• Lead AI projects from discovery through implementation and evaluation.
• Design and maintain production-ready AI workflows and governance standards.
• Assess models, vendors, data integration, interoperability, and risk.
• Provide guidance to leadership on priorities, architecture, and implementation options.
• Collaborate with users and business units to ensure secure, reliable AI capabilities.

Skills

AI engineering

Software engineering

Data engineering

Machine learning

Programming

Communication skills

Team collaboration

Tools

APIs

Cloud platforms

Job description

Doctors Without Borders/Médecins Sans Frontières USA seeks an AI Engineer to lead AI projects from discovery through implementation. You will build and maintain secure, production-ready AI workflows that support MSF USA’s priorities and governance.

Collaborate with leadership and stakeholders on architecture, data integration, and risk management. The role focuses on high-value opportunities within an evolving pipeline, delivering scalable AI capabilities while ensuring security, logging, and