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1 month ago
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Fractal Analytics·Consulting·1 month ago
1 month ago

Lead AI Architect - Cogentiq I2C

Bengaluru, IndiaFull-timeSenior · 6-10 yearsArchitect

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Must-have skills for this role

  • python
  • nlp
  • llm
  • production ai deployment

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About this role

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

We are hiring an experienced AI Lead to drive AI-powered automation across our Intelligent Invoice-to-Cash (I2C) platform. This platform includes Invoice Template Creation (Branding intelligence), Remittance Processing, Payments, AI-based Cash Application, Deduction Management, and ERP Posting.
You will lead the design, development, and deployment of AI systems that extract financial data, match payments to invoices, identify deductions, and reduce manual exceptions. This is a high-impact leadership role shaping automation across enterprise financial workflows.


Key Responsibilities
AI Architecture & Delivery
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
Deduction classification

Ensure scalable and production-ready AI deployment.
Intelligent Document Processing

 

Lead AI solutions to parse: 
Email attachments (PDF/scanned remittances)
EDI/XML files
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.

 

Matching & Automation
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.

 

Exception Intelligence & Explainability
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.

 

Leadership & Collaboration
Lead a team of AI/ML engineers and data scientists.
Partner with Product, Integration, and ERP teams.
Drive AI roadmap aligned with business automation goals.


Required Qualifications
8–14+ years of experience in AI/ML engineering.
Strong expertise in: 
NLP / LLM-based systems
Entity extraction & classification
Matching/reconciliation algorithms
Production AI deployment

Hands-on experience with Python and ML frameworks (PyTorch, TensorFlow, etc.).
Experience building scalable AI pipelines in SaaS or enterprise environments.

 

Preferred Experience
Accounts Receivable or financial systems automation.
Cash application or remittance processing.
ERP-integrated AI systems.
Agent-based AI architectures.
Explainable AI in regulated domains.

 

Leadership Level
Owns AI solution execution and production delivery.
Leads model performance optimization and team execution.
Defines enterprise-wide AI strategy and architecture.
Drives long-term innovation and AI governance.


What Success Looks Like
High extraction accuracy (≥ 90–95%).
Strong auto-match rates with minimal false positives.
Reduced financial exceptions and manual effort.
Scalable, secure, and audit-ready AI systems.


Why Join Us?
You will build the AI backbone of a next-generation Invoice-to-Cash platform that transforms financial operations through automation and intelligence.
If you are passionate about building impactful AI systems in enterprise finance, we would love to hear from you.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Not the right fit?  Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Consulting

Company

Fractal AnalyticsConsulting
Bengaluru, India

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from Fractal Analytics's careers site·first seen 12 Aug 2026·last verified 11 Sept 2026·How we source jobs

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