Parsing Architect (AI) - SME

A Parsing Architect (AI) is responsible for the systemic design, scaling strategy, and governance of an enterprise-level parsing and document preprocessing architecture for autonomous agents and LLM application stacks. The architect designs the framework for how unstructured data lakes are ingested, validated, and programmatically segmented before indexing, ensuring reliable and secure data processing pipelines.

Responsibilities

Design and implement the end-to-end framework for parsing and document preprocessing architecture; Evaluate and orchestrate cutting-edge parsing technologies, including layout engines, OCR, and multimodal vision-language models; Build resilient and cost-optimized data streaming pipelines for AI environments; Define unified semantic data schemas, chunking rules, and metadata tagging protocols; Architect retrieval infrastructure, including indexing strategies and vector database integrations; Establish high-assurance access controls for secure and accurate hybrid search (GraphRAG); Collaborate with data governance, security, and compliance teams to enforce lineage tracing and automated PII/PHI filtering

Requirements

Bachelor's degree in a relevant field; 10 years of experience in parsing architecture or related fields; Proficiency with data ingestion, validation, and segmentation techniques; Experience with parsing technologies such as OCR and vision-language models; Strong understanding of data schemas, indexing strategies, and metadata protocols; Familiarity with data governance and compliance frameworks; Ability to work collaboratively in a multidisciplinary environment; Active Secret, Top Secret, TS/SCI, or TS/SCI with Polygraph clearance required, depending on position