Parsing Architect (AI) - SME

Accenture Federal Services • Chantilly, VA

22h

About The Position

Accenture Federal Services is seeking a Parsing Architect (AI) to design, scale, and govern enterprise-level parsing and document preprocessing architecture for autonomous agents and LLM application stacks. The role establishes how unstructured data lakes are ingested, validated, and programmatically segmented before indexing, with an emphasis on reliable and secure data-processing pipelines.

The architect designs end-to-end parsing frameworks, evaluates and orchestrates technologies such as layout engines, OCR, and multimodal vision-language models, and builds resilient, cost-optimized streaming pipelines for AI environments. The role also defines semantic schemas, chunking rules, metadata protocols, retrieval infrastructure, and high-assurance access controls for hybrid search (GraphRAG). The architect collaborates with data governance, security, and compliance teams on lineage tracing 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 listed base pay range for specified states and the District of Columbia is $109,500–$224,200 USD. Accenture Federal Services describes a collaborative community and opportunities to grow through hands-on experience, certifications, and industry training, and offers a wide variety of benefits; specific benefits are not enumerated in the posting.

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.

Benefits

• The company offers a wide variety of benefits, but the posting does not specify individual benefits.
• Hands-on experience, certifications, and industry training.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior