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# AI Systems Engineer (SE-3) in Fulton

- **Company:** Energy Jobline
- **Location:** Fulton, MD, United States
- **Salary:** $107,900.0 - $195,050.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Amazon Web Services, Cloud Computing, Databases, System Configuration, Data Migration, Graph Database, Python (Programming Language), Object-Oriented Software Development, Jupyter Notebook, Data Analytics
- **Published:** July 29, 2026
- **Apply:** https://www.energyjobline.com/job/ai-systems-engineer-se-3-fulton-31013458

## About the Role

* Technical Proficiency: Comfortable configuring and managing AWS services, migrating data into AWS-hosted databases, and supporting scalable cloud-based solutions. Experience developing analytics capabilities, applying statistical analysis, and leveraging technical targeting methodologies is highly desirable.
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 * Qualifications: Bachelor's degree plus nine (9) years of relevant experience or equivalent. Proficiency with object-oriented (JAVA, JavaScript, Python) and experience with Jupyter Notebooks
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 * Security Clearance: Active TS/SCI with Polygraph required to be considered for this role.
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 * Desirable Skills: Experience creating interactive visualizations that transform complex data science insights into compelling, actionable intelligence for end users and decision-makers.
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## Description

Seeking a motivated AI System Engineer to support the exciting Technology Trending Solutions mission. The engineer will work closely with mission stakeholders to build agentic AI solutions that automate research, analysis, reporting, and data workflows while creating intuitive natural interfaces that make complex Knowledge Graphs accessible to users. You'll leverage AWS cloud services, migrate and manage data in cloud-hosted environments, and apply analytics and statistical techniques to uncover actionable insights. Experience with technical targeting and interactive data visualization is a strong plus, helping transform sophisticated data science outputs into impactful decision-support tools.


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