Systems Engineer – AI Research Systems Support
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Job Description
Systems Engineer supporting AI and research systems within the Department of Veterans Affairs. This role involves data modernization initiatives and collaboration with various teams.
Responsibilities:
- 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:
- 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:
- Health insurance
- up to 20 days of paid time off
- flexible work arrangements
- professional development opportunities
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