Systems Engineer – AI Research Systems Support

Aptive Resources

Systems Engineer supporting AI and research systems within the Department of Veterans Affairs. This role involves data modernization initiatives and collaboration with various teams.

Posted 6/4/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

CloudETLPythonSQL

About the role

Key responsibilities & impact

Support development and implementation of AI-enabled operational and research support solutions across ORD initiatives.
Assist with integration, optimization, and maintenance of data systems, workflows, and cloud-based platforms supporting AI and analytics activities.
Support development and testing of retrieval-augmented generation (RAG) workflows and related AI-enabled tools.
Assist with development of simplified workflows, rapid testing approaches, and deployment activities to improve operational efficiency and development speed.
Support data ingestion, ETL processes, database integration, and data pipeline activities across enterprise environments.
Assist with development and maintenance of integrations supporting research operations, analytics, reporting, and AI-enabled tools.
Coordinate with technical and operational stakeholders to support AI pilot initiatives and enterprise operational priorities.
Support activities related to centralized AI assets, research infrastructure, and enterprise data environments.
Participate in troubleshooting, issue resolution, and continuous improvement activities across technical workstreams.
Prepare technical documentation, workflow documentation, and implementation support materials.

Requirements

What you’ll need

Bachelor’s degree in information systems, computer science, engineering, data science, healthcare informatics, or a related technical field.
4+ years of experience supporting systems engineering, software integration, cloud solutions, data systems, or technical implementation activities in a complex organization.
Experience supporting cloud-based environments, databases, data pipelines, or enterprise data activities.
Experience with SQL, Python, ETL processes, APIs, or systems integration activities.
Familiarity with AI/ML technologies, large language models (LLMs), or AI-enabled workflow solutions.
Experience supporting rapid development, testing, or deployment activities in technical environments.
Strong analytical, troubleshooting, and problem-solving skills.
Ability to communicate effectively with both technical and non-technical stakeholders.
Proficiency with Microsoft Office Suite and collaboration platforms.
Ability to work independently in a remote environment while managing multiple priorities.
Ability to obtain and maintain a public trust clearance.
Legal authorization to work in the United States.

Benefits

Comp & perks

Health insurance
up to 20 days of paid time off
flexible work arrangements
professional development opportunities

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLPythonETL processesAPIsdata systemscloud solutionsdata pipelinessystems integrationAI/ML technologieslarge language models

Soft Skills

analytical skillstroubleshootingproblem-solvingcommunicationindependencetime management

Certifications

Bachelor’s degreepublic trust clearance