Note: The job is a remote job and is open to candidates in USA. Dice is seeking a Forward Deployed AI Engineer to deliver applied AI solutions for intelligent document processing and enterprise data matching. The role involves co-designing production-ready document ingestion, entity-matching, enrichment, and human-in-the-loop workflows, integrating with enterprise systems, measuring match quality, and handing off completed solutions to operational owners.
Responsibilities
- Co-design and build document-ingestion + entity-matching + enrichment pipelines against a named owner and workflow
- Integrate with enterprise authorities via API, event streams, and extract tables; design human-in the-loop review and exception handling
- Instrument match quality (match rate, precision, manual-touch reduction, error rate) so results are measurable
- Commit all artifacts to EBSCO repos as you go and hand off against a defined independent operation bar
Skills
- Strong Eastern/Central Time overlap is required for daily embedded co-build (EBSCO hubs - Ipswich, MA & Birmingham, AL)
- Seniority: Mid-to-senior applied engineers who can build production-quality work and teach it to an owner in parallel
- Intelligent Document Processing - document/structured extraction (OCR and LLM-based), handling messy real-world inputs (Excel, PDF)
- Entity resolution / fuzzy matching / record linkage against reference data; data-quality and reconciliation experience
- Strong Python and SQL; data pipelines; REST/API and event-stream integration; cloud (AWS preferred)
- Human-in-the-loop workflow design; ability to embed with finance/ops owners and transfer the capability
- Prior Intelligent Automation / IDP delivery in finance or operations (AP/AR, subscriptions, contracts)
- LLM-assisted extraction and validation; familiarity with master-data / authority systems and enterprise integration
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