Data & AI Engineer

Sciolex Corporation is a defense contractor providing systems engineering, technical support, and administrative assistance to the U.S. Government. The Data & AI Engineer will work across enterprise data, internal applications, automation, and emerging AI technologies to improve business operations and knowledge accessibility. The role involves designing databases, building internal tools and AI-enabled solutions, supporting reporting systems, and translating stakeholder needs into practical technical solutions.

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

Requirements:

• 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
• Must be a U.S. citizen and physically located in the United States
• 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