It's a great feeling to work for a company that does so much good for others around the world!

Education:    Required – Graduate student currently enrolled in an accredited college or university. Must be pursuing a Master's degree in Computer Science, Artificial Intelligence, or a closely related field (e.g., Computer Engineering, Machine Learning, Data Science, Applied Mathematics, Information Security, or Computational Science)

Company Overview
FirstDay Foundation provides philanthropic grants plus management and governance services to nonprofits doing good work locally and globally. We support our people with competitive, comprehensive benefits and a culture that values impact, integrity, and operational excellence.

Position Summary
This internship is designed for a graduate student in Computer Science, Artificial Intelligence, or a closely related field who seeks hands-on experience applying AI/ML development, process automation, and cloud infrastructure skills to organizational projects. The Automation Engineer Intern will support the design, development, and deployment of AI-driven automation solutions across enterprise platforms. Over the course of the 10-week internship the intern will work closely with the CIS (Clinical/Corporate Information Systems), BI, Data, and Cybersecurity teams, gaining hands-on experience building intelligent workflows, data pipelines, and AI-powered tools that reduce manual effort and improve operational efficiency. This role offers meaningful exposure to modern AI/ML frameworks, enterprise integration architecture, and data governance practices in a real-world environment. Project assignments will reflect both organizational priorities and the intern's interests and strengths.

Essential Functions:
•    Design and build AI-driven automation workflows that reduce manual effort across CIS-supported systems (Salesforce, Workday, SharePoint, EHR) 
•    Develop and deploy automation scripts for data extraction, transformation, and integration between platforms 
•    Assist in building AI-powered document processing pipelines (OCR, classification, data extraction) for operational and compliance use cases 
•    Prototype and implement LLM-driven solutions (e.g., summarization, classification, chatbot interfaces) using modern frameworks and APIs 
•    Support integration of AI capabilities into existing SaaS platforms via APIs and middleware 
•    Create and maintain data pipelines for AI/ML use cases, including ingestion, cleansing, and structuring of enterprise data 
•    Collaborate with BI and Data teams to enhance analytics through AI augmentation (predictive insights, anomaly detection) 
•    Develop automation use cases for legacy data migration, including extraction from prior systems (e.g., Therap → EHR) 
•    Assist in designing secure AI patterns that align with data governance and cybersecurity policies (PHI/PII handling) 
•    Build lightweight internal tools or dashboards to operationalize AI outputs for business users

Measurable Deliveries:
•    Deliver a minimum of two (2) fully documented automation workflows deployed to a staging or production environment by the end of the internship 
•    Complete at least one (1) AI-powered document processing pipeline (OCR, classification, or data extraction) ready for operational or compliance use 
•    Produce a working prototype of an LLM-driven solution (e.g., summarization tool, classification model, or chatbot interface) with documented API integration 
•    Build and deliver at least one (1) internal tool or dashboard that operationalizes AI outputs for business users 
•    Create comprehensive technical and functional documentation for all solutions developed, formatted for reuse and scalability 
•    Complete at least one (1) legacy data migration use case, with extraction logic and transformation scripts validated against source data 
•    Deliver a written evaluation and recommendation report on AI tools, frameworks, or services assessed during the internship, with alignment to enterprise architecture standards 
•    Participate in a minimum of four (4) code reviews and contribute to testing and deployment processes via Git/Bitbucket and CI/CD pipelines where applicable

Skills & Competencies
•    Self-motivated and dependable; able to take initiative after receiving guidance and work independently 
•    Detail-oriented and organized; able to track multiple tasks over time.
•    Intellectual curiosity and interest in applying AI and automation to nonprofit, social impact, or enterprise operational contexts.
•    Proficiency in Python and/or JavaScript; familiarity with SQL
•    Exposure to AI/ML concepts, including large language models (LLMs), natural language processing (NLP), and document intelligence (OCR, classification)
•    Familiarity with API integration (REST, webhooks) and middleware concepts
•    Experience with version control systems (Git/Bitbucket) and basic CI/CD processes
•    Working knowledge of data pipeline tools and ETL processes
•    Familiarity with one or more enterprise platforms (Salesforce, Workday, SharePoint, or EHR systems) is a plus
•    Strong written and verbal communication skills, with the ability to produce clear technical documentation 
•    Ability to work collaboratively across cross-functional teams 
•    Analytical thinking and problem-solving mindset 

Other Requirements:
•    Proof of work eligibility and must be authorized to work in the United States for the duration of the internship 
•    Ability to handle sensitive data (PHI/PII) with discretion and in compliance with organizational data governance policies
•    Ability to complete and pass background check and pre-employment drug screen

Time Commitment:
o    20 hours per week
o    10 weeks total
o    Starts 01 June 2026
 

English (United States)

If you like to work with people that believe they can make a difference in the world, this is the company for you!

EEO Statement

In accordance with Title VII  of the Civil Rights Act of 1964 and other applicable federal and state laws (e.g., the Age Discrimination in Employment Act (ADEA), and the Americans with Disabilities Act (ADA), it is our policy to provide equal employment opportunity and treat all employees equally regardless of race, religion, national origin, color, sex, or any other classification made unlawful or prohibited by federal, state and/or local laws, such as age, citizenship status, veteran or military status, or disability. This policy applies to all terms and conditions of employment, including hiring, promotion, demotion, compensation, training, working conditions, transfer, job assignments, benefits, layoff, and termination.

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

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