Solutions Architect

Overview

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. Vantor is a place for problem solvers, changemakers, and go-getters—where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can shape your own future, build the next big thing, and change the world.

To be eligible for this position, you must be a U.S. Person
, defined as a U.S. citizen, permanent resident, Asylee, or Refugee.

Note on Cleared Roles: If this position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status.

Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

Please review the job details below.

This position requires an active U.S. Government Security Clearance at the TS/SCI level with CI polygraph.

Vantor is seeking an experienced Solutions Architect to lead the design, integration, and evolution of a comprehensive knowledge management platform – one that unifies AI-driven insights, data engineering, ontology development, and core application sustainment. This role bridges AI innovation with enterprise software architecture, ensuring that our solutions remain secure, scalable, and transformative across the mission space.

• Strategic & Architectural Leadership
• Engage directly with users and senior mission stakeholders to understand analytical, operational, and collaboration challenges.
• Define the overall technical architecture for a knowledge management ecosystem encompassing platform, data, and AI components.
• Translate mission and user needs into robust, scalable, and secure technical solutions.
• Oversee end-to-end solution design – from data ingestion and curation to AI-driven analytics, knowledge graphing, and user-facing applications.

• AI & Generative AI Integration
• Architect and guide the integration of LLMs and Generative AI capabilities for summarization, knowledge extraction, semantic search, and intelligent assistance within the mission environment.
• Lead implementation of retrieval-augmented generation (RAG), embedding pipelines, and LLM orchestration frameworks (e.g., Lang Chain, Llama Index, or in-house equivalents).
• Work with data scientists to prototype, evaluate, and deploy AI models tailored to classified and secure settings.
• Establish LLMOps and model governance practices to ensure performance, explainability, and compliance with security and mission standards.

• Data & Knowledge Architecture
• Collaborate with data engineering teams to design data pipelines, ETL processes, and metadata management frameworks.
• Lead the development and maintenance of ontologies, taxonomies, and semantic data models that enable cross-domain intelligence sharing and discovery.
• Ensure data interoperability and accessibility across systems, with a focus on data provenance and quality.

• Platform Development & Sustainment
• Oversee software engineering efforts for the knowledge management platform, including API integration, user interface design, and system sustainment.
• Coordinate with Dev Sec Ops  teams to ensure seamless deployment, monitoring, and accreditation of systems.
• Support continuous improvement of platform performance, scalability, and usability.
• Mentor engineering teams and foster collaboration across AI, data, and software disciplines.

• Stakeholder & Mission Engagement
• Regularly interface with technical and non-technical government stakeholders to communicate architecture decisions, technical trade-offs, and AI impacts.
• Provide expert guidance on the responsible, secure, and mission-aligned adoption of AI technologies.

• TS/SCI with current CI polygraph.
• For a mid level: 6 years of relevant experience within the last 2 years and a master’s degree in computer science, mathematics, physics, statistics, operations research,…