AI Engineer

The role

The AI Engineer will lead artificial intelligence projects from discovery through implementation and evaluation. This role builds and maintains secure, production-ready AI workflows to support organizational priorities and strengthen operational capabilities.

What you will do

• Lead AI projects from discovery through implementation and evaluation.
• Build secure, reliable, and production-ready AI workflows.
• Design maintainable AI solutions that integrate with existing data, applications, systems, and access controls.
• Implement methods to evaluate and monitor AI solutions for accuracy, quality, usefulness, ethical use, security, and risk.
• Contribute to the development and application of technical standards for AI security, permissions, guardrails, documentation, evaluation, and lifecycle management.
• Assess emerging models, platforms, vendors, and integration approaches and advise leadership on adoption, replacement, investment, and risk.
• Provide technical guidance, documentation, and knowledge sharing to support the responsible and effective use of AI.
• Develop and improve AI-enabled solutions by analyzing organizational needs.
• Provide support, advice, training, and assistance to users.
• Mentor and train junior software engineers as required.

Required qualifications

• 5+ years of relevant experience in AI engineering, software engineering, data engineering, machine learning, or a related field.
• Strong programming experience in at least one programming language.
• Experience building production-ready AI applications and workflows, such as chatbots, retrieval-augmented generation (RAG), knowledge tools, or role-specific automations.
• Experience integrating AI solutions with existing data, applications, APIs, document repositories, cloud platforms, and business systems.
• Experience leading technical projects from discovery and design through implementation, evaluation, and maintenance.
• Experience implementing permissions, logging, monitoring, guardrails, and safe defaults in production environments.
• Knowledge of methods for evaluating AI systems for accuracy, quality, usefulness, ethical use, security, and risk.
• Knowledge of responsible AI, data governance, privacy, information security, and vendor-risk practices.
• Strong communication skills with technical and non-technical stakeholders.
• Comfort working collaboratively in a culture that values consensus-building, inclusive decision-making, and responsible experimentation.
• Willingness to travel for work as needed.

Nice to have

• Experience with fundraising, donor engagement, nonprofit Development operations, or similar workflows

Before you apply

• Employment may be contingent upon satisfactory reference checks and/or background screening

About the company

Doctors Without Borders/Médecins Sans Frontières (MSF) is an independent international organization that provides medical care to the people who need it most. MSF USA is one of 24 sections supporting the global movement.