Description :

Role : Principal AI Engineer AI Document Intelligence & Automation

Exp : 10+ years

Must have hands-on coding experience

We are now productizing this internal platform into a scalable, standalone solution that supports AI ingestion for all lending + deposit processes.

To get there, were hiring a Director of Engineering who will scale the entire technical organization - architecture, people, practices, delivery, and AI innovation.

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

- Youve 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