Apply on Employer Site

Vantor · 8 hours ago

Solutions Architect

Reston, VA

Full-time

Onsite

Mid, Senior Level

$170K/yr - $284K/yr

6+ years exp

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. They are seeking an experienced Solutions Architect to lead the design, integration, and evolution of a comprehensive knowledge management platform that unifies AI-driven insights and core application sustainment.

Software

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

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

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., LangChain, LlamaIndex, 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

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

Oversee software engineering efforts for the knowledge management platform, including API integration, user interface design, and system sustainment

Coordinate with DevSecOps 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

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

Qualification

Solutions ArchitectureAI IntegrationData EngineeringCloud ArchitectureDevSecOpsKnowledge ManagementGraph DatabasesAnalytical MindsetCommunication SkillsProblem-Solving

Required

TS/SCI with current CI polygraph

For a mid, have 6 years of experience with relevant experience within the last 2 years and a master's degree in computer science, mathematics, physics, statistics, operations research, engineering or equivalent technical fields. Degree may be substituted with an additional 6 years of experience

For a senior, have 10 years of experience with relevant experience within the last 2 years & a master's Degree in Computer Science, mathematics, physics, statistics, operations research, engineering, or equivalent technical field. Degree may be substituted with an additional 6 years of experience

Proven experience leading complex, multi-component software systems, ideally involving AI/ML, data engineering, and cloud-based architecture

Strong understanding of LLMs, Generative AI frameworks, and knowledge representation (ontologies, graph databases, metadata standards)

Demonstrated success integrating AI within larger enterprise or mission platforms

Familiarity with DevSecOps, CI/CD pipelines, and deployment of AI/ML systems in secure environments

Excellent communication skills and the ability to lead multidisciplinary teams

Strong analytical and problem-solving mindset