AI Systems Engineer Intern — MLOps & Deployment

CACI International Inc; Maryland; On-site; USD 40,000 - 80,000; Part time

Job summary

CA CI International Inc. is seeking an AI Systems Engineering Intern for Summer 2027, a part-time on-site role in Maryland.

The internship spans 12 weeks, beginning in May, focusing on scalability, deployment, and infrastructure orchestration across data engineering, software infrastructure, and MLOps. You will deploy AI models, build RAG pipelines, monitor performance, and develop robust data pipelines while documenting data provenance and model versioning to support system health and

Qualifications

• Pursuing an undergraduate or graduate degree in Systems Engineering or related field.
• Must be legally authorized to work in the United States without sponsor‑ship.
• Must be able to obtain and maintain applicable security clearance.
• Working knowledge of AI and creating agentic workflows.
• Some knowledge of cybersecurity (CC level certification).
• Familiarity with SysML, UML or similar modeling languages.
• Ability to elicit, analyze, document, and manage system requirements.
• Understanding of systems engineering lifecycle, risk management, and coordination.

Responsibilities

• Deploy and scale AI models using Docker and CI/CD to cloud infrastructure.
• Build production-grade RAG pipelines with LLM orchestration for retrieval augmented generation workflows.
• Monitor performance benchmarks to optimize inference latency and cost.
• Engineer robust data pipelines with automated ETL for unstructured data.
• Implement AI observability tooling for monitoring, tracing, and metric collection.
• Document data provenance, configuration and model versioning to guide decisions.

Skills

AI systems engineering

CI/CD pipelines

Data workflows

System architecture

Education

Undergraduate/Graduate Systems Engineering

Tools

Docker

LLM orchestration frameworks

Cloud infrastructure

SysML/UML modeling

Job description

CA CI International Inc. is seeking an AI Systems Engineering Intern for Summer 2027, a part-time on-site role in Maryland.

The internship spans 12 weeks, beginning in May, focusing on scalability, deployment, and infrastructure orchestration across data engineering, software infrastructure, and MLOps. You will deploy AI models, build RAG pipelines, monitor performance, and develop robust data pipelines while documenting data provenance and model versioning to support system health and