Skip to content
The board
Internship
Data

AI Systems Engineering Intern - Summer 2027

CACI

View original
Hours
Part time
Where
Annapolis Junction, MD, US
Posted
Today

Job Title: AI Systems Engineering Intern - Summer 2027

Job Category: Intern/Co-op

Time Type: Part time

Minimum Clearance Required to Start: TS/SCI with Polygraph

Employee Type: Part-Time On-Call

Percentage of Travel Required: None

Type of Travel: None

* * *

The Opportunity:

CACI is looking for a talented AI Systems Engineering Intern for Summer 2027! This position sits at the intersection of data engineering, software infrastructure, and machine learning operations (MLOps). Unlike a pure data science intern who focuses mostly on modeling, an AI Systems Engineer Intern focuses on scalability, deployment, and infrastructure orchestration. The internship will start in May, last 12 weeks, and you'll be required to work 100% on-site.

What you'd do

  • Deploy and scale AI models by using Docker for containerization and implementing automated CI/CD pipelines to cloud infrastructure.
  • Build production grade RAG pipelines using LLM orchestration frameworks to support retrieval augmented generation workflows.
  • Monitor performance benchmarks to analyze and optimize inference latency and cost efficiency.
  • Engineer robust data pipelines by developing automated ETL processes to preprocess, clean, and index unstructured data for AI systems.
  • Implement AI observability tooling to integrate monitoring and tracing for system health, GPU/CPU utilization, API latencies, and token usage.
  • Document and collaborate effectively by maintaining clear records of data provenance, configuration and model version tracking, and parameter decisions that influence model performance and evaluation.

What they want

  • Pursuing an undergraduate or graduate degree in Systems Engineering or a related field.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
  • Must be able to obtain and maintain applicable security clearance.
  • Working knowledge of AI and creating agentic workflows.
  • Some knowledge of cybersecurity (equivalent to the level of knowledge included in the ISC2 Certified in Cybersecurity (CC) certification).
  • Familiarity with SysML, UML, or similar modeling languages to represent system structures and behaviors.
  • Ability to elicit, analyze, document, and manage system requirements using structured methodologies and tools.
  • Understanding of system decomposition, interface definition, and trade-off analysis for complex systems.
  • Understanding of systems engineering lifecycle phases, risk management, and technical project coordination.
  • Top Secret/Secure Compartmented Information (TS/SCI) clearance with Full-Scope Polygraph.
Starts
2026-09-23