Director of Engineering – AI Document Intelligence
5 hours ago
JD for Director of Engineering – AI Document Intelligence & Automation
Exp: 10+ years
This is a hands-on, high-impact leadership role:
We are now productizing this internal platform into a scalable, standalone solution that supports
AI ingestion for all lending + deposit processes
.
To get there, we're hiring a Director of Engineering who will scale the entire technical organization — architecture, people, practices, delivery, and AI innovation.
What You'll Lead
This is a hands-on, high-impact leadership role:
Engineering & Technical Leadership
- Own the technical roadmap for Cync's 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 2–3+ 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
Success in This Role Means:
Cync delivers
best-in-market accuracy
on complex banking documents
AI extraction becomes
fully integrated
with LOS + Servicing workflows
Platform supports
all loan + deposit products
in the bank lifecycle
Deployment scalability: +100 banks with repeatable configuration
Engineering culture: fast, accountable, transparent, innovative
A thriving organization that executes at speed — while staying resilient
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