Job Description

Company

At Actian we believe data should be a competitive advantage. Through the deployment of data technology, underpinned by a relentless and trusted service commitment, we help business critical systems transact and integrate at their very best. As a trusted leader in data management, integration, and analytics, our mission is to helping businesses unlock the full potential of their data to drive better decision-making and innovation wherever it resides — in the cloud, on-premises, or hybrid environments.

With a global team of experts and a culture of innovation, we’re dedicated to helping our customers solve their most complex data challenges.

Internship Overview

We are looking for interns to join us for our 2026 Summer Internship Program! This 12-week program is set to begin June 8th, so if you are looking for an incredible opportunity to partner with the best and brightest minds in the industry, apply today. This program has been designed with our interns in mind and includes structured learning plans, a dedicated buddy, and a focused capstone project that you will have the opportunity to present in our Internship Showcase!

What It’s Like Interning with Us!

• Intern Events— just because the internship is remote, doesn’t mean we don’t have time for fun! Regular intern events will be hosted throughout your 12-weeks with us!
• Time with Executives— Interns all get a chance to connect with our executive team through panel discussions, 1:1s, Q&A meetings, and events
• Workshops — Interns participate in workshops geared towards helping new professionals
• Opportunity to travel – we will fly you out for onsite orientation at our Austin, Texas office location!

The AI Security Intern will support the evaluation and secure adoption of enterprise AI technologies, focusing on large language models (LLMs) and cloud-based platforms like AWS Bedrock. This role provides hands-on experience in analyzing AI security risks, testing model behavior, and implementing guardrails aligned with frameworks such as OWASP Top 10 for LLMs.

Working alongside experienced engineers, the intern will contribute to research, threat analysis, and the development of security controls to strengthen AI governance and risk management. The internship culminates in a capstone project involving end-to-end red team vs. blue team testing, with a final presentation of findings, security recommendations, and an AI Acceptable Use Policy.

Responsibilities:

• Develop a foundational understanding of AI/ML concepts, large language models, and enterprise AI use cases, including data privacy and governance considerations
• Research and analyze AI security threats such as prompt injection, data leakage, and model misuse, aligning findings with frameworks like OWASP Top 10 for LLMs
• Gain hands-on experience with AWS Bedrock by testing multiple foundation models, evaluating outputs, and documenting behavior across use cases
• Design and implement AI security controls, including guardrails, input/output validation, and monitoring strategies to mitigate risk
• Capstone Project: Conduct end-to-end AI red team vs. blue team testing in AWS Bedrock, develop security recommendations, and deliver a final presentation including guardrail configurations, incident analysis, and an AI Acceptable Use Policy for the organization

Nice to Haves:

• Pursuing a degree in Computer Science, Cybersecurity, Information Systems, or a related technical field
• Foundational knowledge of cloud platforms (AWS preferred) and general security concepts
• Exposure to AI/ML concepts such as LLMs, prompt engineering, or data privacy principles
• Interest in cybersecurity, particularly emerging domains like AI/LLM security and adversarial testing
• Strong analytical, research, and communication skills with the ability to present technical findings to diverse audiences

Requirements:

• Must be actively enrolled in a college degree program
• Must be legally authorized to work in the United States

We value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.