GDI / Document Intelligence & NLP Specialist

ATS+Partners is seeking a GDI / Document
Intelligence & NLP Specialist who brings verifiable, multi-year experience
implementing Intelligent Document Processing and Generative Document
Intelligence solutions — ideally for government or regulated-industry clients —
with documented extraction accuracy benchmarks from prior deployments. This
role exists specifically to address the two most consequential gaps in the
current proposal:

•     Minimum Criterion 1 requires five or more years of
experience implementing AI Automation and GDI solutions, preferably for
municipal or government clients. The contractor’s own professional history must
provide the concrete, dated implementation record that satisfies this
threshold.

•     Minimum Criterion 2 requires a proven ability to
achieve 80%+ data extraction accuracy on unstructured documents. The contractor
must be able to supply documented benchmark results from prior engagements —
not theoretical capability claims — that an evaluator can verify.

The contractor will serve as the project’s
extraction engine expert, responsible for the design, configuration, and
continuous improvement of all AI document extraction pipelines. They will own
prompt engineering for all four target workflows, configure the model
ensemble’s consensus logic, build the field-level confidence scoring framework,
and manage the human-in-the-loop feedback loop that drives continuous accuracy
improvement throughout the three-year contract term.

•     Design and configure AI extraction pipelines for all
four target workflows: Invoice Processing, Vehicle Insurance Certificate
Reconciliation, Health Insurance Reconciliation, and Audit Preparation.

•     Develop and maintain custom prompt templates for GPT-4o
and Claude AI, including field extraction schemas in JSON format, field-level
instructions with positive and negative examples, chain-of-thought validation
prompts, and conditional extraction rules.

•     Configure the LangGraph consensus orchestration layer:
define how discrepancies between the two model outputs are resolved, what
confidence thresholds trigger automatic pass-through vs. HITL routing, and how
reviewer corrections are captured in graph state for retraining.

•     Build and manage the document classification pipeline:
design the taxonomy for audit document categorization, train or configure the
classifier against City document samples, and validate classification accuracy.

•     Establish and execute the accuracy benchmarking
protocol: define hold-out test sets for each workflow, run pre-pilot benchmarks, pilot accuracy benchmarks, and quarterly production
accuracy audits.

•     Lead prompt regression testing: maintain a library of
annotated sample documents that are re-run against every prompt update and
model version change to detect accuracy regressions before they reach
production.

•     Manage the continuous learning loop: export reviewer
corrections from the HITL queue, curate training data, coordinate model
fine-tuning or prompt updates on a quarterly basis.

•     Configure pre-processing pipeline parameters: image
quality thresholds, deskewing settings, multi-page document segmentation rules,
and PDF/A normalization parameters for each document type.

•     Provide domain-specific extraction expertise for ACORD
insurance certificates, government invoices, AP aging schedules, GL trial
balances, and health insurance enrollment forms.

•     Document all extraction schemas, prompt versions,
confidence threshold configurations, and model accuracy results in a
version-controlled Model Registry maintained throughout the contract.

Requirements

Benefits

Company Benefits for Contractors

·  Flexible,
project-based consulting opportunities with the ability to work across diverse
public, private, and nonprofit sector IT initiatives.

·  Exposure to
high-impact digital transformation, infrastructure modernization,
cybersecurity, cloud, and AI-enabled projects that strengthen your portfolio
and technical expertise.

·  Collaborative
partnership model that values consultant input, innovation, and professional
autonomy while working alongside experienced client and project leadership
teams.

·  Competitive contractor compensation with opportunities for repeat
engagements, long-term client relationships, and expansion into strategic
advisory or technical leadership roles.