AI Engineer

Medecins Sans Frontieres (Doctors Without Borders) - United States•New York, NY

10d•$101,769 - $152,653

About The Position

The AI Engineer will lead artificial intelligence projects from discovery through implementation and evaluation as part of MSF USA’s Systems Innovation, AI and Data team. The role builds and maintains secure, production-ready AI workflows that support organizational priorities and strengthen operational capabilities. In collaboration with leadership and stakeholders, the AI Engineer provides technical recommendations on AI priorities, risks, architecture, and implementation options, assessing models, vendors, data integration, interoperability, governance, evaluation, and maintainability. Projects will be selected from an evolving pipeline according to organizational priorities, feasibility, expected value, data readiness, and risk. The position develops AI-enabled solutions, establishes reusable technical patterns and standards, supports users and business units, and helps protect information through appropriate permissions, logging, monitoring, guardrails, data protections, and safe defaults. It also implements and manages applications and AI-enabled capabilities, including data migration and systems integration, and supports secure, reliable, efficient application operations. The role shares expertise across the MSF movement and provides technical guidance, documentation, training, and knowledge sharing to encourage responsible and effective AI use. The job holder works without supervision, provides technical guidance, analyzes data from multiple sources, and makes recommendations. The role may require mentoring and training junior software engineers and travel for work as needed. MSF USA describes itself as an independent international humanitarian organization providing medical care in more than 70 countries, guided by medical ethics and the principles of independence, impartiality, and neutrality.

Requirements

At least 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, and ability to apply established standards and policies in solution design and implementation.
Strong communication skills with technical and non-technical stakeholders, including the ability to give clear technical guidance and recommendations to leadership.
Ability to work collaboratively in a culture that values consensus-building, inclusive decision-making, and responsible experimentation.
Passion for MSF’s humanitarian mission and values.
Willingness to travel for work as needed.

Nice To Haves

Experience with fundraising, donor engagement, nonprofit Development operations, or similar workflows is desirable but not required.

Responsibilities

Lead AI projects from discovery through implementation and evaluation.
Build secure, reliable, production-ready AI workflows and deliver AI capabilities aligned with organizational priorities.
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 technical standards for AI security, permissions, guardrails, documentation, evaluation, and lifecycle management.
Assess emerging models, platforms, vendors, and integration approaches; advise leadership on adoption, replacement, investment, and risk.
Analyze organizational needs and identify opportunities for responsible AI innovation.
Establish reusable technical patterns and standards for AI workflows, data integration, interoperability, evaluation, monitoring, and maintenance.
Provide technical support, advice, training, and assistance to users and business units so they understand and appropriately use applications, websites, data, and AI capabilities.
Develop specifications for, advise on, and implement information security solutions and tools to protect and monitor security incidents and prevent unauthorized access or damage.
Incorporate appropriate permissions, logging, monitoring, guardrails, data protections, and safe defaults into AI solutions.
Implement and manage applications and AI-enabled capabilities, including data migration and systems integration.
Ensure applications and AI workflows are secure, reliable, efficient, and appropriately performant, with suitable access administration, monitoring, documentation, maintenance, and end-user support.
Implement and support new features as needed.
Share expertise across the MSF movement by participating in Communities of Practice and other collaborative initiatives.
Provide technical guidance, documentation, and knowledge sharing to support responsible and effective AI use across MSF-USA.
Mentor and train junior software engineers as required.
Perform other functions as assigned and travel for work as needed.