Principal Gen AI Engineer - Document AI & Data Pipelines

Cotality

Dallas (TX)

Hybrid

USD 134,000 - 185,000

Full time

14 days+

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Benefits offered by this job

Generous PTO
Paid holidays
Parental leave
401(k) with company match
Tuition assistance
Well-being stipend

Job summary

Cotality is seeking a Principal AI Engineer to lead the design and implementation of scalable Gen AI and document image extraction pipelines in a hybrid Dallas/Irvine environment. You will architect solutions using Google Cloud Platform, Doc AI, BigQuery, and Python, guiding teams to deliver enterprise-grade, HITL-enabled workflows.

The role requires 7+ years in IT with deep Gen AI/Document AI expertise, strong data engineering skills, and a track record of influencing architectural strategy in

Qualifications

  • 7+ years of IT experience with strong expertise in Gen AI/Agentic AI and document image extraction.
  • Deep experience with Google Document AI suite (Form Parser, Custom Extractors, CDE training/tuning).
  • Experience in designing HITL workflows for enterprise Document AI pipelines.
  • Familiarity with data modeling and both SQL and NoSQL databases.

Responsibilities

  • Design and implement scalable AI data pipelines and document image extraction workflows.
  • Translate business requirements into enterprise-grade architecture and designs.
  • Provide technical leadership and mentorship to engineering teams.

Skills

Gen AI/Agentic AI
Document Image extraction
GCP
Python
Kubernetes
Data Engineering
Airflow
SQL/NoSQL

Education

Bachelor’s degree in Computer Science or related field

Tools

Google Document AI
Dataflow (Apache Beam)
DataProc (Apache Spark)
Apache Airflow
BigQuery
PostgreSQL

Job description

Cotality is seeking a Principal AI Engineer to lead the design and implementation of scalable Gen AI and document image extraction pipelines in a hybrid Dallas/Irvine environment. You will architect solutions using Google Cloud Platform, Doc AI, BigQuery, and Python, guiding teams to deliver enterprise-grade, HITL-enabled workflows.

The role requires 7+ years in IT with deep Gen AI/Document AI expertise, strong data engineering skills, and a track record of influencing architectural strategy in

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