Job SummaryAptive Resources is seeking a Systems Engineer to support artificial intelligence (AI), research systems, and data modernization initiatives within the Department of Veterans Affairs (VA) Office of Research and Development (ORD). This role supports enterprise AI activities focused on improving research operations, streamlining organizational workflows, supporting strategic AI pilots, and enabling scalable AI capabilities across research, policy, infrastructure, and operational environments.
The Systems Engineer will support development, integration, and optimization of AI-enabled workflows, cloud-based solutions, and research technology initiatives. This role will work closely with project managers, data analysts, operational stakeholders, and technical teams to support rapid testing, workflow improvements, system integrations, and AI-related operational support activities across ORD initiatives.
The ideal candidate will have experience supporting modern data and application environments, technical integrations, cloud-based systems, and AI-enabled workflows in healthcare, research, or enterprise operational environments.
This is a full-time (40 hours/week), 100% remote position.
It is currently funded through September 29, 2026 under the current contract period of performance, with potential for extension into the next option year based on contract continuation and program needs.
Primary 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.
Minimum Qualifications- 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.
Desired Qualifications- Experience supporting federal, VA, healthcare, research, or enterprise AI environments.
- Experience supporting AI-enabled search, retrieval workflows, or RAG-based solutions.
- Familiarity with cloud platforms such as Azure or AWS.
- Experience supporting workflow automation, operational modernization, or technical integration initiatives.
- Experience supporting REDCap, research databases, or healthcare data environments.
- Familiarity with data lake, data warehouse, or enterprise analytics environments.
- Experience working in fast-paced, matrixed environments supporting multiple concurrent technical initiatives.
- High degree of professionalism, discretion, and mature judgment in handling sensitive information.
