Job Title

About the companyIDS (Integrated Digital Solutions) is a consulting firm specializing in enterprise technology projects, cloud architecture, and AI/ML implementations. We empower businesses with innovative solutions in financial services, DevOps, and digital transformation. Join our dynamic team to drive cutting-edge AI applications that deliver real business value.Job Summary:The Document Automation Engineer specializes in Automation Anywhere's Document Automation capabilities within the Automation 360 platform to extract, validate, and process data from structured, semi-structured, and unstructured documents like invoices, contracts, and forms. This role focuses on integrating AI-powered Intelligent Document Processing (IDP) with RPA bots to automate workflows in finance, HR, compliance, and customer onboarding.Key Responsibilities: Develop and deploy Document Automation learning instances to extract data from PDFs, images, handwriting, barcodes, and tables using generative AI and OCR.Use Document Extraction package actions (Extract Data, Get Document Data, Update Document Data, Download Data) to integrate extracted data into RPA bots and enterprise systems like CRM or ERP.Create, train, and manage document models for 1000+ variations, handling validation, fuzzy logic, and custom workflows across 190 languages.Analyze business processes for automation opportunities, troubleshoot extraction accuracy, and optimize for high-volume processing.Collaborate with stakeholders to preprocess documents, flag low-confidence fields for human review, and embed data into end-to-end workflows.Required Qualifications: 2–4 years of hands-on experience with Automation Anywhere A360, particularly Document AutomationProficiency in Document Extraction package, learning instance creation, and GenAI-enhanced features for tables and unstructured data.Strong knowledge of AI/ML for IDP, including data formats (JSON, CSV, XML), APIs, and integrations with Automation Co-Pilot.youtube​Experience with SQL databases, scripting (e.g., JavaScript/Python), and common use cases like invoice processing or claims handling.Bachelor’s degree in Computer Science, IT, or related field; proven problem-solving in production environments.Preferred Skills:Familiarity with cloud deployments (Automation 360), GenAI for complex extractions (e.g., tracking numbers, policy documents), and compliance workflows.Exposure to OCR providers, SDKs, or hybrid document processing (vector/raster PDFs, TIFF, PNG).Version control (Git) and CI/CD for bot deployment