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Jade Global
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Solutions Architect / Technical Lead - AI & Automation

Solutions Architect / Technical Lead - AI & Automation

Jade Global

10 - 15 years

25 - 30 Lacs

Hyderabad Pune

Posted:3 days ago| Platform:

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Skills Required

artificial intelligence ml ocr software development aiml continuous integration kubernetes abbyy ci/cd vue.js azure devops docker tensorflow pytorch mongodb coupa rest python blob storage sap ariba microsoft azure google cosmos node.js terraform

Work Mode

Work from Office

Job Type

Full Time

Job Description

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 EngineeringLP/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

CertificationsAzure 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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Solutions Architect / Technical Lead - AI & Automation