Google Document AI (DocAI) Technical Lead

CGI

$127K — $223K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years in software engineering with a focus on technical leadership.
  • 3+ years of experience in AI/ML, Document AI, or Intelligent Document Processing.
  • Hands-on experience deploying Google Document AI in a production environment.
  • Experience with DocAI configuration and model optimization techniques.
  • Proven skills in developing with Google Cloud Functions and event-driven architectures.
  • Strong proficiency in Python, REST APIs, and microservices architecture.
  • Experience with CI/CD practices and modern DevOps tools.

Responsibilities

  • Lead the development of Google Document AI solutions from design to implementation.
  • Configure Document AI processors and tune models for optimal accuracy.
  • Design comprehensive document workflows for various processing stages.
  • Develop orchestration workflows using GCP services like Cloud Functions and Pub/Sub.
  • Create APIs, microservices, and handle data transformations using Python.
  • Implement error handling and production support mechanisms.
  • Guide and mentor developers through technical challenges and code reviews.

Benefits

  • Competitive compensation package.
  • Comprehensive insurance options from day one.
  • 401(k) plan with matching contributions and share purchase opportunities.
  • Paid vacation, holidays, and sick leave.
  • Paid parental leave available.
  • Support for learning opportunities and tuition assistance.
  • Wellness programs to promote employee well-being.
Full Job Description
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Google Document AI (DocAI) Technical Lead

Category: Analytics and Emerging Digital Technologies

Main location: United States, Georgia, Atlanta

Alternate Location(s): United States, North Carolina, Charlotte
United States, Texas, Dallas
United States, Texas, Houston
United States, Tennessee, Knoxville

Position ID:J0926-0350

Employment Type: Full Time

Position Description:

CGI is seeking a hands on Google Document AI (DocAI) Technical Lead to design, develop, and deliver enterprise Intelligent Document Processing (IDP) solutions on Google Cloud Platform (GCP). This role requires strong hands on development experience with Google Document AI configuration, model setup and tuning, Google Cloud Functions, and end to end document processing orchestration. The Technical Lead will also provide technical direction to developers, drive implementation, conduct code/design reviews, and resolve complex technical issues.

This role can be performed from any US CGI office.

Your future duties and responsibilities:

Lead the design, configuration, development, and implementation of Google Document AI solutions

Configure DocAI processors, Custom Document Extractor, schemas/entities, classification, extraction, confidence thresholds, and model tuning

Design end to end document workflows covering ingestion, classification, extraction, validation/HITL, and downstream processing

Develop orchestration using Google Cloud Functions, Cloud Storage, Pub/Sub, Cloud Run, APIs, and related GCP services

Develop Python based APIs, microservices, pre/post processing logic, JSON transformations, and enterprise integrations

Implement error handling, retry/reprocessing, logging, monitoring, and production support

Translate business and architectural requirements into technical designs and development tasks

Lead and drive developers through technical direction, work assignments, code/design reviews, mentoring, and resolution of technical blockers

Remain hands on with development and troubleshooting through testing, deployment, and production stabilization

Ensure solutions meet enterprise requirements for security, scalability, performance, reliability, and maintainability

Required qualifications to be successful in this role:

7+ years of software engineering experience, including technical leadership

3+ years of AI/ML, Document AI, or IDP experience

Strong hands on experience implementing Google Document AI in production

Experience with DocAI configuration, Custom Document Extractor, classification, extraction, model training/tuning, and accuracy optimization

Strong development experience with Google Cloud Functions and event driven GCP architectures

Strong Python development skills and experience building REST APIs, microservices, and JSON integrations

Experience with GCP services such as Cloud Storage, Pub/Sub, Cloud Run, IAM, and Cloud Monitoring

Experience with CI/CD, Git, and modern DevOps practices

Proven ability to lead developers while remaining hands on technically

At least one end to end production IDP implementation

Desired qualifications

Experience with Vertex AI/Gemini, HITL solutions, Docker/Kubernetes, LLMs/RAG, and enterprise content/workflow platforms

Must Have: Direct, hands on production experience configuring Google Document AI and developing GCP/Cloud Functions orchestration

This is a development lead role-not a purely architectural AI position

Other Information:
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $127,500.00 $223,200.00.
CGI's benefits are offered to eligible professionals on their first day of employment to include:
. Competitive compensation
. Comprehensive insurance options
. Matching contributions through the 401(k) plan and the share purchase plan
. Paid time off for vacation, holidays, and sick time
. Paid parental leave
.Learning opportunities and tuition assistance
. Wellness and Well being programs
CGI Federal anticipates accepting applications for this position through 2026 10 31.

Skills:
  • Artificial Intelligence
  • Google Cloud Platform
  • Google Cloud Storage
  • Leadership
  • Python
  • RESTful (Rest-APIs)


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