AI Engineer

AI Engineer

Purpose of the Job

This role is pivotal in our commitment to leveraging cutting-edge artificial intelligence to advance our mission. This person will be a hands-on professional with a passion for experimenting with emerging AI assistants, large language models (LLMs), and other AI technologies. This role will be responsible for identifying, testing, and integrating these tools into our existing technological infrastructure to enhance our programs, fundraising, streamline operations, and drive data-informed decision-making.

Essential Functions and Responsibilities

• Analyze business processes using the workflow process management function and partner with Data Analysts to evaluate data flows, then proactively identify opportunities to integrate AI solutions that optimize efficiency, automate tasks, and support informed decision-making.
• Research, experiment with, and evaluate emerging AI assistants, generative AI tools, and large language models (LLMs) to determine high-value use cases aligned with organizational goals.
• Design and develop AI prototypes and proof-of-concept integrations to demonstrate how AI tools can be effectively integrated into internal systems to enhance efficiency, automation, and operational workflows.
• Partner with cross-functional teams to identify practical challenges and opportunities where AI can be applied to simplify work, save time, or improve outcomes.
• Build, fine-tune, and deploy ML models tailored to nonprofit-specific use cases such as donor insights, operational automation, and content generation.
• Use advanced Python skills and ML tools to develop and fine-tune AI models for practical applications.
• Implement AI solutions in compliance with ethical standards, including bias mitigation, data privacy, and fairness, and contribute to shaping the organization's AI governance framework.
• Train non-technical staff on basic AI concepts, opportunities, and risks.
• Design and implement AI architecture, model integration strategies, and data pipelines to enable seamless deployment into existing systems.

Required Education, Experience, Knowledge and Skills

• Bachelor's in Artificial Intelligence, Computer Science, Data Science, or a relevant field.
• 1 to 3 of hands-on experience in machine learning, AI engineering, or related fields.
• Hands-on experience working within project teams, supporting the implementation of AI solutions in coordination with technical and non-technical stakeholders.
• Proficiency in written and spoken English.
• Proficiency in Python and core ML frameworks.
• Practical experience with AI/LLM deployment, including Chabot's, assistants, or generative AI.
• Good understanding of data ethics, bias, and responsible AI principles.
• Excellent communication, facilitation, and documentation skills.
• Experience with Customer Relationship Management (CRM) systems and their integration with data and AI workflows.
• Ability to gather, analyze and present information and numerical data effectively, and a demonstrated, high level of accuracy and thoroughness in all duties.

Travel and Working Requirements

• Limited to typical office environment such as walking, sitting, typing, using office equipment, and occasional lifting of boxes or luggage during travel.
• Occasional travel, nationally or internationally, is expected.
• Working out of the official hours and on weekends may be required.