Analytics & AI Intern
Ontic · Austin County, TX
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- Hybrid
- Internship
- $45,000 / year
- Austin County, TX
Job highlights
- Build impactful AI agents using company data.
- Work with modern data tools like Snowflake.
- Connect data models to LLM workflows.
- Own projects with direct business impact.
- Gain hands-on AI and data experience.
About the role
About Ontic
Ontic provides software that helps corporate and government security teams identify threats, assess risk, and respond faster to keep people and organizations safe. Its Connected Intelligence Platform unifies security operations and data into a centralized system of record, enabling organizations to conduct risk assessments, protect against workplace violence, and manage threats and incidents more efficiently. Fortune 500 companies and federal agencies rely on Ontic to support security programs such as executive protection, threat intelligence, and corporate investigations.
Learn more at ontic.co or follow us on LinkedIn.
Who You Are
We are hiring a high-potential undergraduate intern to work directly with our AI & Analytics team on building real-world AI systems that power an enterprise SaaS business. This is not a traditional internship. You will own 1–2 high-impact projects focused on building custom AI agents using our internal data in Snowflake — systems that will be used by teams across Sales, Customer Success, Finance, and Product. You’ll work closely with the Sr. Director of AI & Analytics and operate as a builder, not an observer.
What You’ll Do
Build AI Agents with Real Business Impact
- Design and develop 1–2 custom AI agents powered by internal company data
- Connect Snowflake data models to LLM-based workflows and applications
- Experiment with prompting, retrieval (RAG), and agent orchestration
- Deploy prototypes that are actually used by internal teams
- Iterate quickly based on feedback and real usage
Work with Modern Data Infrastructure
- Explore and work with production data in Snowflake
- Contribute to dbt models and help shape datasets used by AI systems
- Learn how scalable data systems are built in a modern ELT stack
Ship, Learn, and Iterate Quickly
- Partner with business stakeholders to understand real problems
- Translate ambiguous ideas into working prototypes
- Operate in a fast-moving environment where speed and curiosity matter
Our Stack
Analytics: Fivetran, dbt, Snowflake, Hightouch, Omni
AI & Knowledge Systems: Notion, Cursor, Glean
You don’t need prior experience with these tools — we care much more about how quickly you learn.
Who You Are (Requirements)
- Currently pursuing a degree in Computer Science, Engineering, Data Science, or a related field
- Strong in SQL and/or Python (you’ve built things, not just taken classes)
- Deeply curious about AI/LLMs and how they work in practice
- Comfortable navigating ambiguity and figuring things out independently
- Builder mindset — you like shipping real projects, not just prototypes for class
- Strong problem solver with attention to detail
- Clear communicator who can explain ideas simply
Bonus (Not Required)
- Experience with LLMs, RAG, or agent frameworks
- Familiarity with data tools (dbt, Snowflake, etc.)
- Side projects, hackathons, or open-source contributions
What Makes This Internship Different
- You will own real systems, not shadow other people
- Your work will be used by teams across the company
- You’ll gain hands-on experience with both modern data infrastructure and applied AI
- You’ll work directly with senior leadership, with high visibility and feedback
- You’ll build a portfolio of work that stands out for full-time roles in AI and data
Why This Role Matters
We are building an AI-native analytics function — not a traditional BI team. Our goal is to embed data and AI directly into how the company operates. This Means: AI agents instead of static dashboards, data systems designed for automation, not just reporting, and continuous experimentation with the latest AI tooling. As an intern, you will contribute directly to this vision.
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Ontic we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Ontic prioritizes the full inclusion of qualified individuals, providing necessary accommodations for those with disabilities to perform essential job functions. If you need assistance during the application or interview process or job tasks, contact us at recruitment@ontic.co or call (512) 572-7400.
Key skills/competency
- Analytics and AI Intern
- AI Agents
- SQL
- Python
- Snowflake
- LLMs
- RAG
- Data Infrastructure
- Problem Solving
- Communication
Skills & topics
- Analytics
- AI
- Intern
- SQL
- Python
- LLM
- Snowflake
- Data Science
- Machine Learning
- SaaS
How to get hired
- Tailor your resume: Highlight SQL, Python, and any AI/LLM project experience, emphasizing practical application over coursework.
- Showcase your builder mindset: Detail personal projects, hackathons, or open-source contributions demonstrating initiative and problem-solving skills.
- Prepare for technical interviews: Brush up on SQL and Python, and be ready to discuss AI/LLM concepts and your approach to ambiguity.
- Demonstrate curiosity: Express genuine interest in Ontic's AI-native analytics vision and how you can contribute to it.
Technical preparation
Behavioral questions
Frequently asked questions
- What specific AI projects will I work on as an Analytics & AI Intern at Ontic?
- As an Analytics & AI Intern at Ontic, you will own 1-2 high-impact projects focused on building custom AI agents. These agents will be powered by internal company data from Snowflake and connected to LLM-based workflows. You'll experiment with techniques like prompting and RAG, and deploy prototypes that internal teams will actually use.
- What technical skills are most important for the Analytics & AI Intern role at Ontic?
- Strong proficiency in SQL and/or Python is essential, with a focus on practical building experience. While prior experience with tools like dbt or LLMs is a bonus, Ontic prioritizes your ability to learn quickly and your deep curiosity about AI/LLMs.
- How does Ontic's internship differ from traditional programs?
- Ontic's internship offers a unique 'builder' experience where you'll own real systems and contribute directly to the company's AI-native analytics vision, rather than just shadowing. Your work will have direct business impact and be used by internal teams, providing high visibility and a strong portfolio for future roles.
- What kind of data infrastructure will I work with as an intern?
- You will work with production data in Snowflake, connecting it to LLM-based workflows. You'll also have the opportunity to explore and contribute to dbt models and gain insights into how scalable data systems are built within a modern ELT stack.
- What is the expected work arrangement for the Analytics & AI Intern position?
- The job description implies a hands-on, collaborative role working directly with the AI & Analytics team and senior leadership. While not explicitly stated, roles involving building prototypes and iterating with internal teams often suggest a hybrid or on-site arrangement for optimal collaboration.
- Does Ontic offer accommodations for applicants with disabilities?
- Yes, Ontic prioritizes the full inclusion of qualified individuals and provides necessary accommodations for those with disabilities to perform essential job functions. If you need assistance during the application or interview process, you can contact them at recruitment@ontic.co or call (512) 572-7400.