Solutions Architect / Technical Lead - AI & Automation

Solutions Architect / Technical Lead - AI & Automation1

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.

AI/ML Engineering:

• 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.

Cloud & Database Management:

• 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.

Technical Leadership:

• Lead cross-functional teams (AI engineers, DevOps, BAs) in solution delivery.

• Troubleshoot complex technical issues in OCR accuracy, AI model drift, or system integration.

Client Enablement:

• Advise clients on technical best practices for scaling AI solutions.

• Document architectures, conduct knowledge transfers, and mentor junior engineers.

Required Technical Expertise

• 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.