Data & AI Engineer

sciolexΒ· Engineering
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🌍 RemoteπŸ“ Chantilly, VA, USFULL TIME

About this role

Overview

What do you get when you bring together a team of bright individuals and place them into an environment where β€œwork” means making a difference in the lives of people across the globe?

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You get Sciolex Corporation, a fast-growing defense contractor focused on providing the U.S. Government a level of service that surpasses the epitome of excellence.Β  Our core services include systems engineering technical advice, technical support, and administrative assistance.Β  From our humble beginning as a small Service Disabled, Small Business in Chantilly, VA, Sciolex Corporation is now the home for over 1,000 employees across the U.S.

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Over the past 20 years, Sciolex Corporation has constructed an environment that celebrates diversity and encourages a positive work/life balance, all while supporting government missions that our employees are proud to be a part of.Β  When you work for Sciolex Corporation, you are working for a stable company that values you and is committed to ensuring you receive the utmost employee care.

Responsibilities

We are a small government contractor seeking a motivated and adaptable engineer to help evolve how our organization works with data, internal systems, and emerging AI technologies.This role is intentionally broad and hands-on. You will work across enterprise data, internal applications, automation, and modern AI-driven solutions to improve how information is accessed, understood, and used throughout the business.

We are looking for a self-starter who enjoys solving problems, building practical solutions, and operating in an open-ended environment. The ideal candidate is comfortable working with both structured data (enterprise databases) and unstructured information (documents, SharePoint content, internal knowledge), and is excited about applying generative AI in practical business settings.

This is not a narrowly defined reporting or analytics role. While supporting existing data systems is part of the position, the broader objective is to help shape how the company leverages modern technology to improve internal operations and knowledge accessibility.

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Core Responsibilities:

  • Design, manage, and optimize enterprise databases (Microsoft SQL Server)
  • Build internal tools, workflows, automations, and lightweight applications to improve business operations
  • Design and prototype AI-enabled solutions for internal knowledge access, search, summarization, and operational efficiency
  • Enable intelligent retrieval and use of internal business information across structured and unstructured sources
  • Support and improve internal reporting and data solutions as business needs evolve
  • Troubleshoot and enhance existing systems and technical processes
  • Collaborate with business stakeholders to understand problems and translate needs into practical technical solutions

Desired Focus Areas:

  • Generative AI and internal business applications
  • Intelligent search, retrieval, and summarization of internal documents and data
  • Integration of structured and unstructured information
  • Workflow automation and operational efficiency improvements
  • Internal tooling and knowledge systems

Qualifications & Physical Requirements

Required Qualifications:

  • Strong problem-solving ability and analytical thinking
  • Experience with software development (Python, C#, APIs, automation, or similar)
  • Strong SQL and database fundamentals (SQL Server, relational design, querying)
  • Experience working within a Microsoft-based environment
  • Ability to work independently, take ownership, and navigate open-ended technical problems
  • Ability to communicate effectively with both technical and non-technical stakeholders
  • Demonstrated interest in AI, automation, or intelligent systems

Preferred Qualifications:

  • Experience experimenting with or building solutions using generative AI or LLMs
  • Familiarity with document-based search, retrieval systems, or knowledge management concepts
  • Experience building internal tools or automating business processes
  • Familiarity working with unstructured information (documents, file systems, SharePoint content)
  • Exposure to cloud platforms or Microsoft Azure

Why This Role:

  • Opportunity to shape technical direction in a highly visible role
  • Work on both established systems and emerging technologies, including generative AI
  • Direct impact on internal efficiency, knowledge accessibility, and business operations
  • Small team environment with autonomy, flexibility, and ownership

Work Environment:

  • Remote
  • Must be a U.S. citizen and physically located in the United States
  • Small, collaborative team
  • Hands-on role with flexibility and autonomy

Frequently Asked Questions

Is the salary disclosed for the Data & AI Engineer position at sciolex?
The salary for this Data & AI Engineer role at sciolex is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Is the Data & AI Engineer job at sciolex remote?
Yes, this Data & AI Engineer position at sciolex is remote, with team members based in Chantilly, VA, US. You can work from home or anywhere in the supported regions.
Is the Data & AI Engineer role at sciolex full-time or part-time?
This is listed as a FULL TIME position. It is posted as a Data & AI Engineer role in the Engineering department at sciolex.
Which team or department does the Data & AI Engineer at sciolex belong to?
This Data & AI Engineer position is part of the Engineering department at sciolex. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Data & AI Engineer position at sciolex?
Click the "Apply Now" button on this page. You will be redirected to sciolex's official application portal hosted on icims where you can submit your application directly.
When was the Data & AI Engineer job at sciolex posted?
This Data & AI Engineer position at sciolex was posted on Jun 3, 2026. Apply as soon as possible β€” early applications are often reviewed first.
Data & AI Engineer
sciolex
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