Full Stack AI Technical Lead – Intelligent Document Processing

CGI•Chicago, IL

About The Position

CGI is seeking for an expert Full Stack AI Technical Lead for Intelligent Document Processing is responsible for architecting, developing, and delivering end-to-end AI-powered document automation solutions. This role blends deep expertise in AI/ML, LLMs, OCR, NLP, and document understanding with strong full-stack engineering and cloud architecture skills. You will lead technical strategy, guide engineering teams, and ensure scalable, secure, and high-quality IDP capabilities across the enterprise. In this role, you will work closely with cross-functional teams to identify high-value use cases and design, prototype, and deliver end-to-end AI solutions that directly address those needs using CGI Pulse AI platform. You must be both technically skilled and business-savvy to translate complex problems into scalable AI-driven products or tools. Your future duties and responsibilities: AI-Assisted Software Development Use GitHub Copilot/Gemini Code Assist/Cloud AI to accelerate code generation, refactoring, and documentation. Optimize prompts and workflows to improve AI-generated code quality. Integrate AI coding assistants into daily development practices. Monitor and Report Team's efficiency gain in use of AI tools. Use of AI tool in code review, Quality Assurance AI & Document Intelligence Architect and implement advanced IDP pipelines using OCR, NLP, LLMs, and transformer-based models. Lead development of intelligent extraction, classification, summarization, and validation workflows. Evaluate and integrate document AI platforms (Pulse AI, Google Document AI, etc.). Design prompt engineering, retrieval-augmented generation (RAG), and model fine-tuning strategies. Full-Stack Engineering Build and maintain scalable backend services (Python, Node.js, Java) and modern front-end applications (React/Angular). Develop microservices, REST/GraphQL APIs, and event-driven architectures supporting document workflows. Ensure high performance, reliability, and maintainability across the entire application stack. Cloud, DevOps & AIOps Architect IDP solution with cloud agnostic technical stack with a deployment capability on Azure/AWS/GCP with strong security and compliance posture. Implement CI/CD pipelines, containerization (Docker), orchestration (Kubernetes), and observability frameworks. Establish AIOps practices for model deployment, monitoring, retraining, and lifecycle management. Leadership & Collaboration AI-First delivery mentality. Must be adaptive to develop code using AI tools. Serve as the technical lead to maintain CGI IDP solution, driving architectural decisions and best practices. Lead and mentor AI engineers, data scientists, and developers across multiple teams. Partner with product managers, business stakeholders, and operations teams to define requirements and deliver value. Conduct code reviews, architecture reviews, and technical roadmap planning. Lead Design of features and ready to be hands-on with critical production issues.

Requirements

7+ years of experience in software engineering, with at least 3 years in AI/ML or document intelligence.
Strong proficiency in Python and one or more backend languages (Node.js, Java, Go).
Hands-on experience with OCR, NLP, LLMs, embeddings, vector databases, and model deployment.
Expertise in cloud platforms (Azure/AWS/GCP) and containerized environments (Docker, Kubernetes).
Proven experience designing and delivering large-scale, production-grade systems.
Strong understanding of microservices, distributed systems, and API design
Must Have – One end to end production implementation experience with IDP (Intelligent Document Processing) with AIOps.

Nice To Haves

Experience with RPA platforms (UiPath, Automation Anywhere, Power Automate).
Familiarity with workflow engines e.g. Airflow.
Knowledge of security frameworks, compliance standards, and enterprise governance.
Background in leading cross-functional engineering teams.
Experience with RAG pipelines, vector search, and enterprise LLM integration.
Experience on Product Development with knowledge in cost and pricing strategy of delivered products.

Responsibilities

AI-Assisted Software Development Use GitHub Copilot/Gemini Code Assist/Cloud AI to accelerate code generation, refactoring, and documentation.
Optimize prompts and workflows to improve AI-generated code quality.
Integrate AI coding assistants into daily development practices.
Monitor and Report Team's efficiency gain in use of AI tools.
Use of AI tool in code review, Quality Assurance AI & Document Intelligence Architect and implement advanced IDP pipelines using OCR, NLP, LLMs, and transformer-based models.
Lead development of intelligent extraction, classification, summarization, and validation workflows.
Evaluate and integrate document AI platforms (Pulse AI, Google Document AI, etc.).
Design prompt engineering, retrieval-augmented generation (RAG), and model fine-tuning strategies.
Full-Stack Engineering Build and maintain scalable backend services (Python, Node.js, Java) and modern front-end applications (React/Angular).
Develop microservices, REST/GraphQL APIs, and event-driven architectures supporting document workflows.
Ensure high performance, reliability, and maintainability across the entire application stack.
Cloud, DevOps & AIOps Architect IDP solution with cloud agnostic technical stack with a deployment capability on Azure/AWS/GCP with strong security and compliance posture.
Implement CI/CD pipelines, containerization (Docker), orchestration (Kubernetes), and observability frameworks.
Establish AIOps practices for model deployment, monitoring, retraining, and lifecycle management.
Leadership & Collaboration AI-First delivery mentality.
Must be adaptive to develop code using AI tools.
Serve as the technical lead to maintain CGI IDP solution, driving architectural decisions and best practices.
Lead and mentor AI engineers, data scientists, and developers across multiple teams.
Partner with product managers, business stakeholders, and operations teams to define requirements and deliver value.
Conduct code reviews, architecture reviews, and technical roadmap planning.
Lead Design of features and ready to be hands-on with critical production issues.

Benefits

Together, as owners, let’s turn meaningful insights into action.
Life at CGI is rooted in ownership, teamwork, respect and belonging.
Here, you’ll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life.
That’s why we call ourselves CGI Partners rather than employees.
We benefit from our collective success and actively shape our company’s strategy and direction.
Your work creates value.
You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
You’ll shape your career by joining a company built to grow and last.
You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

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