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Fractal Analytics

Enterprise AI solutions for decision making

Lead AI Architect

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • At least 8 years of experience in AI/ML engineering.
  • Strong expertise in natural language processing and large language model-based systems, entity extraction and classification, matching and reconciliation algorithms, and production AI deployment.
  • Hands-on experience with Python and machine learning frameworks such as PyTorch or TensorFlow.
  • Experience building scalable AI pipelines in SaaS or enterprise environments.

Responsibilities

  • Define end-to-end AI architecture for invoice-to-cash workflows.
  • Design modular AI agents for remittance data extraction, invoice reference identification, payment-to-invoice matching, and deduction classification.
  • Ensure scalable and production-ready AI deployment.
  • Lead AI solutions that parse email attachments, including PDFs and scanned remittances, EDI/XML files, and customer portal uploads.
  • Extract structured financial entities such as invoice numbers, UTRs, customer data, deductions, FX variances, and tax adjustments.
  • Implement confidence scoring and validation logic.
  • Build and optimize AI-driven matching algorithms between remittances, payments, and ERP invoices.
  • Improve auto-match rates while maintaining high precision.
  • Reduce manual exception handling through intelligent recommendations.
  • Design AI systems that detect mismatches and suggest corrective actions.
  • Ensure explainable AI outputs suitable for financial audit and compliance.
  • Establish feedback loops for continuous model improvement.
  • Lead a team of AI/ML engineers and data scientists.
  • Partner with Product, Integration, and ERP teams.
  • Drive an AI roadmap aligned with business automation goals.
  • Own AI solution execution and production delivery.
  • Lead model performance optimization and team execution.
  • Define enterprise-wide AI strategy and architecture.
  • Drive long-term innovation and AI governance.

Desired Qualifications

  • Experience with accounts receivable or financial systems automation.
  • Experience with cash application or remittance processing.
  • Experience with ERP-integrated AI systems.
  • Experience with agent-based AI architectures.
  • Experience with explainable AI in regulated domains.

About the Company

Fractal Analytics

Enterprise AI solutions for decision making

Fractal Analytics provides AI-powered analytics and decision-support solutions for large enterprises, including Fortune 500 companies. Its products combine data science, machine learning, and natural language processing to extract insights, automate tasks, and enable conversations: Crux Intelligence (BI), Senseforth.ai (conversational AI), Eugenie.ai (sustainability), and Asper.ai (revenue growth). The company differentiates itself with a broad, enterprise-focused product portfolio and a global delivery footprint of 4,000+ employees across 16 locations, plus industry analyst recognition and workplace awards. Its goal is to power every human decision in the enterprise by bringing AI, engineering, and design together to help leading companies make better decisions.

Company size
5,001-10,000
Company stage
IPO
Headquarters
New York City, New York
Founded
2000

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