Parsing Architect (AI) - Senior

Accenture Federal Services•Chantilly, VA

16h•$94,000 - $178,700

About The Position

Accenture Federal Services is seeking a highly experienced Parsing Architect (AI) to lead the systemic design, scaling strategy, and governance of an enterprise-level parsing and document preprocessing architecture. The role supports autonomous agents and LLM application stacks, with a focus on ingesting, validating, and segmenting unstructured data before indexing. The position designs and implements end-to-end ingestion and processing frameworks for multi-format unstructured data; evaluates and orchestrates parsing technologies such as OCR, multimodal vision-language models, and document processing APIs; and builds resilient, cost-optimized pipelines for streaming contextually rich data into AI environments. The architect also defines semantic schemas, chunking rules, and metadata tagging protocols; designs retrieval infrastructure, indexing strategies, and vector database integrations; and establishes access controls for secure hybrid search systems. Collaboration with data governance, security, and compliance teams is required to support lineage tracing and PII/PHI filtering. An active Secret, Top Secret, TS/SCI, or TS/SCI with Polygraph clearance is required, depending on position. The listed base pay range for specified states and the District of Columbia is $94,000–$178,700 USD. Accenture Federal Services offers a wide variety of benefits, with further information available through the company.

Requirements

Bachelor's degree required.
8 years of experience in parsing architecture or a related field.
Proven expertise in data engineering and cognitive computing infrastructure.
Strong knowledge of semantic data schemas and metadata tagging.
Experience with high-throughput AI environments and document processing technologies.
Ability to work collaboratively with cross-functional teams.
Excellent communication and problem-solving skills.
Active Secret, Top Secret, TS/SCI, or TS/SCI with Polygraph clearance required, depending on position.

Responsibilities

Design and implement an end-to-end framework for ingesting and processing multi-format unstructured data.
Evaluate and orchestrate parsing technologies, including OCR, multimodal vision-language models, and document processing APIs.
Build resilient, cost-optimized pipelines for streaming contextually rich data into 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 systems.
Collaborate with data governance, security, and compliance teams to enforce lineage tracing and PII/PHI filtering.