Senior AI Engineer for Government AI/ML Systems (TS/SCI)

ARSIEM; Linthicum (MD); On-site; USD 191,000 - 214,000; Full time

Job summary

ARSIEM is seeking a Senior AI Engineer in Linthicum, MD, to design and deploy AI/ML tooling, including LLM orchestration for static analyzers and RAG systems. The role focuses on extracting insights from product docs, source code, and test results, and building scalable AI-enabled tools within secure enclaves.

The ideal candidate will have a strong background in Python, LLM integration, data engineering, and experience with relational and vector databases, plus familiarity with Agile, Jira,

Qualifications

• Bachelor's degree plus 8+ years of relevant experience or equivalent.
• Proficiency in Python, LLM integration, and data engineering.
• Experience with static analyzers, RAG framework, and relational and vector databases.
• Familiarization with Agile, Git, Jira, and Confluence.

Responsibilities

• Collaborate with technical leadership to design, develop, and maintain LLM orchestration frameworks that coordinate static analyzers, retrieval-augmented generation (RAG) systems, and automated testing pipelines.
• Develop and optimize data preprocessing pipelines to ingest, clean, transform, and vectorize product documentation, source code, and test results for LLM consumption.
• Design and implement database solutions to support RAG architectures, artifact storage, audit trails, and metadata management.
• Collaboratively work with systems engineers to architect and deploy networked AI tools within secure enclaves and conduct performance profiling, optimization, and scalability analysis of mission systems.
• Support security assessments and authority to operate (ATO) processes.

Skills

Python

LLM integration

Data engineering

Agile

Education

Bachelor's degree

Tools

Git

Jira

Confluence

Job description

ARSIEM is seeking a Senior AI Engineer in Linthicum, MD, to design and deploy AI/ML tooling, including LLM orchestration for static analyzers and RAG systems. The role focuses on extracting insights from product docs, source code, and test results, and building scalable AI-enabled tools within secure enclaves.

The ideal candidate will have a strong background in Python, LLM integration, data engineering, and experience with relational and vector databases, plus familiarity with Agile, Jira,