> Markdown version of [/jobs/ext/4717906-google-document-ai-docai-technical-lead](https://www.wearedevelopers.com/jobs/ext/4717906-google-document-ai-docai-technical-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Google Document AI (DocAI) Technical Lead - **Company:** CGI Technologies and Solutions, Inc. - **Location:** Dallas, TX, United States - **Experience:** Expert - **Salary:** $127,500 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Storage, Continuous Integration, DevOps, Enterprise Content Management, Event-Driven Programming, Google Docs, Identity and Access Management, JSON, Python (Programming Language), Performance Tuning, Software Engineering, Systems Integration, Data Logging, Google Cloud, Cloud Monitoring, Retrieval-Augmented Generation, Large Language Models, Git, Kubernetes, Google Cloud Functions, Google Gemini, Restful APIs, Intelligent Document Processing, Docker, Microservices - **Published:** November 14, 2026 - **Apply:** https://dejobs.org/x/x/ADD8EE7281904E0A879FEC55D901C1A0/job/ ## About the 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 ## 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