IT Summer 2027 Undergraduate Internship

GuideWell•Jacksonville, FL

16h•Remote

About The Position

Florida Blue's Remote IT Summer Internship program is designed to give college juniors, seniors, and graduate students a hands-on look at our business processes and the tech systems that power them. You'll work on real projects, get on-the-job training, and partner with a mentor from your track-specific team. In addition to your daily responsibilities, you'll have opportunities to: Meet with leaders from all domains within the Tech organization. Engage with Executive Tech Leadership throughout the program. Present to Florida Blue's CIO and Tech Vice Presidents at the program's conclusion. We pride ourselves on a culture that values flexibility, innovation, and diversity. Bring your unique talents and help us advance our mission of helping people and communities achieve better health. Read more about the tracks offered below and the qualifications/requirements for each.

Requirements

Currently enrolled in computer science, information technology, mathematics, psychology, or related degree program as a Junior or Senior student at an accredited college/university.
Cumulative GPA of 3.0 or better.
Must be able to commit to working at least 30 hours a week.
Basic PC skills required including working knowledge of Microsoft Office products (Word, Excel, PowerPoint, and Outlook).
Basic programming knowledge, JavaScript/HTML/CSS or other Object Oriented programming experience.
Excellent written and verbal communication skills; team and collaboration-oriented.
Work under minimal supervision and adapt to a dynamic, changing environment.
Must be a creative and innovative thinker.
A strong foundation in how large language models work, including prompting techniques, retrieval-augmented generation (RAG), and agentic/tool-use patterns (Generative AI track).
Experience with LLM APIs and application frameworks (e.g., LangChain, or similar orchestration tools); experience with open-source or commercial models is a plus (Generative AI track).
Proficiency in Python; familiarity with ML/DL frameworks like TensorFlow or PyTorch is a plus but not required (Generative AI track).
Data manipulation and statistical analysis skills (Generative AI track).
Curiosity about responsible and effective AI adoption — how to evaluate, govern, and scale AI solutions in a business setting, not just build them (Generative AI track).
A passion for generative AI that drives you to push boundaries and explore new possibilities (Generative AI track).
A knack for designing, implementing, and troubleshooting technology (Infrastructure track).
Experience in monitoring and maintaining complex systems (Infrastructure track).
A passion for keeping our digital kingdom safe and secure (Infrastructure track).
The skills to develop and implement policies that protect our tech assets (Infrastructure track).
Knowledge or experience with AI platforms, LLMs, or supporting AI infrastructure/integrations is a plus (Infrastructure track).
Knowledge of Linux commands and understanding of how to work with Linux boxes (Infrastructure track).
Basic understanding of OpenShift and Kubernetes (Infrastructure track).
A curious and adventurous spirit, always eager to learn and explore (Cloud Engineering track).
A willingness to take on new challenges and push the boundaries of what's possible (Cloud Engineering track).
A passion for cloud computing and its endless possibilities (Cloud Engineering track).
The drive to stay ahead of the curve and master the latest cloud technologies (Cloud Engineering track).
A passion for cybersecurity and a desire to make a real impact (Cybersecurity track).
A strong foundation in information security principles and practices (Cybersecurity track).
The drive to stay ahead of cyber threats and protect our digital world (Cybersecurity track).
Interest in how AI-assisted tools are changing threat detection and response is a plus (Cybersecurity track).
Passionate and inquisitive, always seeking to learn and improve (Data Analytics track).
A quick learner, able to adapt to new tools and techniques (Data Analytics track).
An expert "Googler," able to find creative solutions to complex problems (Data Analytics track).
Have basic skills in SQL, R, and/or Python (Data Analytics track).
Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Mechanical/Electrical Engineering, Physics, or Computational Biology (Data Science track).
Skilled in programming languages such as Python, R, or SQL (Data Science track).
Analytical, detailed, and able to work with large datasets (Data Science track).
Taking high-level computer science and math courses, such as Data Structures and Algorithms, Calculus I, Probability and Statistics, Linear Algebra, Calculus II (Data Science track).
Strong programming skills in languages like Java, JavaScript, HTML, CSS, Python, or Swift (Application Development track).
Knowledge of database management systems such as MySQL, MongoDB, or PostgreSQL (Application Development track).
Experience with version control systems like Git (Application Development track).
Experience with front-end frameworks such as React or Angular (Application Development track).
Familiarity with back-end frameworks such as Node.js (Application Development track).
A finger on the pulse of current technology trends and a desire to stay ahead of the curve (Application Development track).
A strong understanding of business operations and processes (Business Analyst track).
Analytical and problem-solving skills, with the ability to break down complex problems into manageable parts (Business Analyst track).
Experience with business analysis tools and techniques, such as use cases, user stories, and process mapping (Business Analyst track).
Familiarity with software development methodologies, such as Agile and Waterfall (Business Analyst track).
Effective communication and interpersonal skills, with the ability to collaborate with cross-functional teams (Business Analyst track).

Nice To Haves

Experience with open-source or commercial models is a plus (Generative AI track).
Familiarity with ML/DL frameworks like TensorFlow or PyTorch is a plus but not required (Generative AI track).
Knowledge or experience with AI platforms, LLMs, or supporting AI infrastructure/integrations is a plus (Infrastructure track).
Experience with AWS or Azure is preferred (Cloud Engineering track).
Completed or in-progress certifications such as Security+, Network+, A+, and/or Linux+ preferred (Cybersecurity track).
Experience with SQL databases is preferred (Business Analyst track).

Responsibilities

Design, build, and deploy solutions that solve real business problems using enterprise AI platforms (Generative AI track).
Collaborate with business and IT stakeholders to bring AI capabilities to life (Generative AI track).
Develop and implement policies and procedures to safeguard company data, databases, and information systems (Infrastructure track).
Keep technology secure, efficient, and running at peak performance (Infrastructure track).
Monitor and maintain complex systems (Infrastructure track).
Develop and implement policies that protect tech assets (Infrastructure track).
Work with infrastructure as code, networking, automation, data storage, and security using platforms like AWS and Azure (Cloud Engineering track).
Tackle real-world challenges and projects in cybersecurity, working with red-team and blue-team members (Cybersecurity track).
Explore multiple security frameworks and develop a deep understanding of information security concepts, principles, and solutions (Cybersecurity track).
Apply cutting-edge techniques like data wrangling, model development, and visualization to real-world business problems and datasets (Data Analytics track).
Focus on data analytics, business intelligence, and data quality assessment to drive business growth and improve health outcomes (Data Analytics track).
Design, develop, and deploy data analytics models and algorithms to solve business problems (Data Science track).
Analyze large datasets to identify trends, patterns, and insights (Data Science track).
Craft solutions using knowledge of web development, design, and programming (Application Development track).
Focus on developing new applications and exploring new technologies (Application Development track).
Collaborate with teams, gather requirements, and design solutions that meet business needs (Application Development track).
Define and document business requirements (Business Analyst track).
Collaborate with software developers, product owners, and testers to bring innovative solutions to life (Business Analyst track).
Assist in guiding projects from concept to production deployment (Business Analyst track).
Identify and resolve application defects, ensuring business and end-user needs are met (Business Analyst track).

Benefits

Medical, dental, vision, life and global travel health insurance
Income protection benefits: life insurance, short- and long-term disability programs
Leave programs to support personal circumstances
Retirement Savings Plan including employer match
Paid time off
Volunteer time off
10 holidays
2 well-being days
Additional voluntary benefits available
A comprehensive wellness program