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About the Role
The AI Engineer will lead artificial intelligence projects from discovery through implementation and evaluation. This role will build and maintain secure, production-ready AI workflows that support organizational priorities and strengthen MSF USA’s operational capabilities, providing technical recommendations on AI priorities, risks, architecture, and implementation options.
Responsibilities
- Develop and improve AI-enabled solutions by analyzing organizational needs and identifying opportunities for responsible innovation.
- Design, implement, and evaluate solutions that improve existing processes, create new capabilities, and support MSF-USA’s strategic priorities.
- Establish reusable technical patterns and standards for AI workflows, data integration, interoperability, evaluation, monitoring, and maintenance.
- Assess emerging technologies, models, platforms, and vendors and recommend whether and how they should be adopted by MSF-USA.
- Provide support, advice, training, and assistance to users to resolve queries and ensure that application, website, data, and AI capabilities are well understood and appropriately used by MSF-USA.
- Develop specifications for, advise on and implement information and security solutions and tools to protect and monitor security incidents and prevent unauthorized access or damage.
- Ensure AI solutions incorporate appropriate permissions, logging, monitoring, guardrails, data protections, and safe defaults.
- Support technology operations on behalf of the movement in the US home society.
- Share expertise with the rest of the movement by participating in Communities of Practice, and other collaborating initiatives.
- Implement and manage applications and AI-enabled capabilities, including data migration and systems integration, to support MSF Strategy.
- Provide governance designed to ensure applications and AI workflows operate securely, reliably, efficiently, and at an appropriate level of performance, from the end-user experience to underlying integrations.
- Implement and support new features as needed.
- Ensure appropriate access administration, monitoring, documentation, maintenance, and end-user support.
- Lead AI projects from discovery through implementation and evaluation.
- Build secure, reliable, and production-ready AI workflows.
- Deliver high-value AI capabilities for Development, with priorities adapting as MSF-USA’s organizational pipeline evolves.
- 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 across MSF-USA.
- Mentor and train junior software engineers as required, ensuring they are knowledgeable in critical aspects of their roles.
Requirements
- Works without supervision and provides technical guidance when required on developing appropriate plans or performing necessary actions based on recommendations and requirements.
- Works without supervision and provides technical guidance when required on analyzing data from multiple sources to draw appropriate conclusions and make suitable recommendations.
- 5+ years of relevant experience in AI engineering, software engineering, data engineering, machine learning, or a related field, including 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, with the 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 provide clear technical guidance and recommendations to leadership.
- Comfort working collaboratively in a culture that values consensus-building, inclusive decision-making, and responsible experimentation.
- Experience with fundraising, donor engagement, nonprofit Development operations, or similar workflows is desirable but not required.
- Passion for the humanitarian mission and values of MSF.
- Must be willing to travel for work as needed.
Skills
- AI engineering
- Software engineering
- Data engineering
- Machine learning
- Programming
- AI workflows
- Data integration
- Interoperability
- AI evaluation
- AI monitoring
- AI maintenance
- Information security
- Application management
- Data migration
- Systems integration
- AI architecture
- AI governance
- AI standards
- AI security
- AI permissions
- AI guardrails
- AI documentation
- AI lifecycle management
- AI models
- AI platforms
- AI vendors
- AI integration approaches
- Responsible AI
- Data governance
- Privacy
- Information security
- Vendor-risk practices
- Communication skills
- Technical guidance
- Leadership recommendations
- Consensus-building
- Inclusive decision-making
- Responsible experimentation
- Fundraising
- Donor engagement
- Nonprofit Development operations
- Humanitarian mission
- Plans and Aligns
- Financial Acumen
- Tech Savvy
- Data Collection and Analysis
- Project Management Skills
- Presentation and Written Communication Skills
Location
- USA
Work Type
- Full-time
Experience Level
- 5+ years of relevant experience
Salary/Compensations
- $101,769 to $152,653
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.
- The organization cares for people affected by conflict, disease outbreaks, disasters, and social exclusion in more than 70 countries.
- MSF offers medical humanitarian assistance solely based on need, regardless of race, ethnicity, religion, or politics.
- Our international project teams include medical, logistical, and administrative staff, most of them hired locally and working with their own communities.
- Our actions are guided by medical ethics and the principles of independence, impartiality, and neutrality.
- We also bear witness and speak out about the experiences of our colleagues and patients.
- MSF USA is one of 24 sections supporting the global movement, primarily through staff recruitment, fundraising, advocacy, and communications.
- We welcome candidates who bring a wide variety of backgrounds and experiences to join us in working toward MSF’s social mission.
Equal Opportunity
- MSF-USA is dedicated to creating a diverse, impartial, and inclusive workforce.
- We are an equal opportunity employer and do not discriminate based on gender identity or expression, sexual orientation, race, religion, age, national origin, disability, marital status, pregnancy status, veteran status, genetic information, or any other differences as per applicable laws.
- We seek a diversity of experience and skills for our workplace and encourage people from all backgrounds to apply to our openings.
- We also provide reasonable accommodations for individuals with disabilities or religious beliefs and practices.
- We strongly encourage individuals from underrepresented communities in the Humanitarian Aid sector to apply.