Parsing Architect (AI) - SME

United States·ChantillyFull Timemid

ArchitectConstruction & Real Estate

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Overview

Fantom Corporation is a mission-focused organization supporting critical programs across the defense and intelligence community.

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ArchitectConstruction & Real Estate

Fantom Corporation is a mission-focused organization supporting critical programs across the defense and intelligence community. We partner with our customers to deliver high-impact technical solutions while fostering a culture built on trust, expertise, and long-term career growth.

Must possess an active Top Secret Clearance

Must be willing and able to obtain a polygraph

Education: Bachelor’s degree required
Experience: Minimum of 10 years of relevant experience

The Parsing Architect (AI) leads the design, scalability, and governance of enterprise document parsing and preprocessing systems that support autonomous agents and large language model (LLM) applications. This role establishes how large volumes of unstructured data are ingested, validated, parsed, and segmented for indexing and retrieval.

The architect evaluates document processing technologies and designs reliable, cost-effective pipelines that preserve document context and produce high-quality data for AI applications. The role works closely with data engineering, AI, security, governance, and compliance teams to ensure information remains traceable, secure, and accessible to authorized users.

Responsibilities

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Design enterprise architecture for ingesting, validating, parsing, and preprocessing large, multi-format document collections.
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Define scaling strategies that support high-throughput processing, reliability, and cost efficiency.
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Evaluate and integrate layout analysis engines, optical character recognition (OCR), multimodal vision-language models, and document processing APIs.
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Establish semantic data schemas, document segmentation and chunking rules, and metadata standards that preserve context across document libraries.
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Design retrieval infrastructure, including indexing strategies, vector database integrations, hybrid search, and graph-based retrieval-augmented generation (GraphRAG).
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Define and enforce access controls throughout document processing, indexing, and retrieval.
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Establish data lineage and traceability from source documents through processed content and retrieval outputs.
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Implement automated detection and filtering of personally identifiable information (PII) and protected health information (PHI).
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Partner with governance, security, and compliance teams to translate enterprise requirements into architecture standards and technical controls.
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Monitor and improve parsing accuracy, contextual completeness, processing performance, and operating costs as AI requirements evolve.

Requirements

~2 min read

Minimum of 10 years of relevant experience in data engineering, enterprise architecture, document processing, AI infrastructure, or related technical disciplines.
Experience designing scalable architectures for large volumes of unstructured and multi-format data.
Experience evaluating and integrating document parsing, OCR, layout analysis, and AI-based document processing technologies.
Understanding of LLM data preparation, including semantic schemas, chunking strategies, metadata enrichment, and context preservation.
Experience with indexing, vector databases, hybrid search, and graph-based retrieval architectures.
Experience incorporating access controls, data lineage, and sensitive data filtering into enterprise data pipelines.
Ability to communicate architectural decisions and collaborate across engineering, AI, security, governance, and compliance teams.

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Fantom Corp is a Software Development, Agile Cloud, Software Development, Cyber Security (Risk Management, Assessments & Authorization (A&A)), Data, AI Platform (Computer Vision Models), Podcasting Media Services, and IT Services provider. Established in 2015, Fantom Corp serves Federal customers with top-notch Cybersecurity Architects, Data Scientists/Analysts, Software Engineers/Developers, DevSecOps Engineers, Project Managers, Identity, Credential Access Management (ICAM) services , and Cloud-certified practitioners. We excel in delivering emerging technologies such as Artificial Intelligence (AI) and Machine Learning (ML) with a focus on identifying trends, object detection, and classification of structured and unstructured data. Fantom Corp possesses mastery in all aspects of digital audio production. We lead in the ideation and creation of efforts for clients who want to harness the power of podcasting. We guide them in selecting the right show format for their needs and goals. As a Small Business, we possess the innovation, speed and flexibility to meet your requirements.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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