Parsing Architect (AI) - SME

Accenture Federal Services•Chantilly, VA

5h•$109,500 - $224,200

About The Position

The 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 role designs a framework for ingesting, validating, and programmatically segmenting unstructured data lakes before indexing, ensuring reliable and secure data-processing pipelines. The architect designs and implements end-to-end parsing and preprocessing frameworks; evaluates and orchestrates parsing technologies such as layout engines, OCR, and multimodal vision-language models; and builds resilient, cost-optimized data streaming pipelines for AI environments. The position also defines semantic data schemas, chunking rules, and metadata protocols; architects retrieval infrastructure and vector database integrations; establishes access controls for secure hybrid search (GraphRAG); and collaborates with governance, security, and compliance teams on lineage tracking and automated PII/PHI filtering. An active Secret, Top Secret, TS/SCI, or TS/SCI with Polygraph clearance is required, depending on the position. The stated base pay range for specified locations is $109,500–$224,200 USD. Accenture Federal Services offers benefits, with further information available through the company’s benefits materials.

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, depending on position.

Responsibilities

Design and implement the end-to-end framework for parsing and document preprocessing architecture.
Evaluate and orchestrate 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.