Solutions Architect / Technical Lead - AI & Automation

As a Solutions Architect / Technical Lead in AI & Automation, your role involves designing end-to-end solutions using Node.JS and Vue.JS for custom portals and administration interfaces. You will integrate Azure AI services, Google OCR, and Azure OCR into client workflows. Your responsibilities include developing and optimizing vision-based AI models using Python, implementing NLP pipelines, architecting and optimizing MongoDB databases on Azure, managing cloud infrastructure for AI workloads, leading cross-functional teams, troubleshooting technical issues, advising clients on scaling AI solutions, documenting architectures, and mentoring junior engineers. Key Responsibilities: - Design end-to-end solutions using Node.JS and Vue.JS 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 using Python - Implement NLP pipelines for document extraction, classification, and data enrichment - Architect and optimize MongoDB databases on Azure for scalability, security, and performance - Manage cloud infrastructure (Azure) for AI workloads, including containerization and serverless deployments - Lead cross-functional teams in solution delivery - Troubleshoot 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 Required Qualifications: - 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) Preferred Qualifications: - 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,