Director Engineering

Dear Candidates,

Greetings from IDEXCEL Technologies!!

Please find the employment opportunity with Idexcel, and acknowledge asap for further interview process.

Designation: Director of Engineering AI Document Intelligence & Automation

Company Name: IDEXCEL technologies, Full Time.

Experience: 10+ Years

Notice Period: immediate

Work Mode: Work From Office( 5 Days in a week)

Work Locations: Bangalore

Director of Engineering AI Document Intelligence & Automation

What Youll Lead

This is a hands-on, high-impact leadership role:

Engineering & Technical Leadership

• Own the technical roadmap for Cyncs AI Document Intelligence platform
• Drive execution across multiple engineering teams: LOS AI ingestion, Servicing workflow automation, Vision AI, Integrations, Cloud Infra
• Architect modular, scalable pipelines for:
• Financial statements + tax returns
• Rent rolls + leases
• Appraisals + construction docs
• Borrowing base collateral files
• KYC/identity docs for deposits
• Build guardrails to ensure accuracy, traceability, compliance + explainability

Platform & Productization

• Convert one-off extraction workflows into a configurable platform:
• Document Layout Sub-section segmentation
• Contextual parsing based on content type
• Automatic table + image data conversion
• Natural language-based field extraction
• Retrieval pipelines powered by document metadata & embeddings
• Ensure interoperability across Origination Servicing Core banking systems

Execution & Scale

• Establish high-velocity engineering processes and release discipline
• Scale engineering headcount 23+ hires/month while raising the bar
• Implement modern observability, testing automation, and performance engineering
• Drive cost-efficient cloud scaling and AI model operations (model versioning, evaluation)

Cross-Functional Leadership

• Partner with Product to turn customer workflows into intelligent automation
• Collaborate with Sales/Pre-Sales for enterprise deployments
• Work with Compliance/Risk to meet banking regulatory expectations
• Represent engineering in customer and executive steering sessions

What You Bring

• 10+ years of engineering experience with 3+ years leading teams
• Built & scaled: AI/ML or data platforms Workflow automation or enterprise SaaS High-availability, secure production environments
• Deep familiarity with LLMs + Vision Models (OCR not enough)
• Strong architectural ability — event-driven, streaming, microservices, vector DB
• Proven ability to turn messy, unstructured data into reliable structured outputs
• Experience integrating with financial systems: core, GL, banking APIs
• You’ve lived through scale: dozens to hundreds of engineers, before that you have worked at a well-run, high-bar company where you learned what great engineering culture looks like
• A true builder who enjoys hands-on contribution where needed