Gurugram, Haryana, India
Information Technology
Full-Time
Jade Global
Overview
Solutions Architect / Technical Lead - AI & Automation1
Key Responsibilities
Solution Architecture & Development:
Key Responsibilities
Solution Architecture & Development:
- Design end-to-end solutions using Node.JS (backend) and Vue.JS (frontend) for custom portals and administration interfaces.
- Integrate Azure AI services, Google OCR, and Azure OCR into client workflows.
- Develop and optimize vision-based AI models (Layout Parsing/LP, Layout Inference/LI, Layout Transformation/LT) using Python.
- Implement NLP pipelines for document extraction, classification, and data enrichment.
- Architect and optimize MongoDB databases hosted on Azure for scalability, security, and performance.
- Manage cloud infrastructure (Azure) for AI workloads, including containerization and serverless deployments.
- Lead cross-functional teams (AI engineers, DevOps, BAs) in solution delivery.
- Troubleshoot complex technical issues in OCR accuracy, AI model drift, or system integration.
- Advise clients on technical best practices for scaling AI solutions.
- Document architectures, conduct knowledge transfers, and mentor junior engineers.
- Frontend/Portal:
- Vue.JS (advanced components, state management), Node.JS (Express, REST/GraphQL APIs).
- AI/ML Stack:
- Python (PyTorch/TensorFlow), Azure AI (Cognitive Services, Computer Vision), NLP techniques (NER, summarization).
- Layout Engineering: LP/LI/LT for complex documents (invoices, contracts).
- OCR Technologies:
- Production experience with Google Vision OCR and Azure Form Recognizer.
- Database & Cloud:
- MongoDB (sharding, aggregation, indexing) hosted on Azure (Cosmos DB, Blob Storage, AKS).
- Infrastructure-as-Code (Terraform/Bicep), CI/CD pipelines (Azure DevOps).
- Experience:
- 10+ years in software development, including 5+ years specializing in AI/ML, OCR, or document automation.
- Proven track record deploying enterprise-scale solutions in cloud environments (Azure preferred).
- Certifications: Azure Solutions Architect Expert, MongoDB Certified Developer, or Google Cloud AI/ML.
- Experience with alternative OCR tools (ABBYY, Tesseract) or AI platforms (GCP Vertex AI, AWS SageMaker).
- Knowledge of DocuSign CLM, Coupa, or SAP Ariba integrations.
- Familiarity with Kubernetes, Docker, and MLOps practices.
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