Integrated Digital Solutions

2 Job openings at Integrated Digital Solutions
Technical Program Manager india 6 years None Not disclosed Remote Full Time

Job Summary We are seeking an experienced Technical Project Manager to lead end-to-end delivery of innovative Agentic AI implementation projects at IDS (Integrated Digital Solutions). The ideal candidate will bring 6-8 years of project management experience, with expertise in agile methodologies and a focus on agentic processes and automation. This role emphasizes managing AI-driven solutions for enterprise automation, including agentic AI for decision-making workflows, and is enhanced by experience in tools like Automation Anywhere, Appian, or UiPath. You will drive projects from concept to deployment, ensuring seamless integration with business objectives in cloud-based and AI-enhanced environments. Key Responsibilities Oversee end-to-end project lifecycle for Agentic AI implementations, including requirements gathering, design, development, testing, deployment, and optimization, while adhering to timelines, budgets, and quality benchmarks. Facilitate agile ceremonies such as sprint planning, backlog prioritization, and retrospectives to manage iterative development of AI agents and automated processes. Collaborate with cross-functional teams, including AI engineers, data scientists, and business analysts, to define agentic workflows, integrate AI models, and automate complex business processes. Identify and mitigate risks in AI project delivery, ensuring ethical AI practices, data governance, and scalability in agentic systems that perform autonomous tasks. Manage stakeholder communications, providing updates on project progress, AI performance metrics, and ROI from automation initiatives using tools like Jira or Confluence. Drive adoption of agentic AI for process automation, customizing solutions to enhance efficiency in areas like financial services, enterprise integrations, and compliance workflows. Mentor team members on best practices for AI project management, fostering innovation in agentic technologies. Required Qualifications Bachelor's degree in Computer Science, Artificial Intelligence, Information Technology, or a related field; certifications like PMP, CSM, or AI-specific credentials are preferred. 6-8 years of project management experience in technical domains, with demonstrated end-to-end leadership of 5+ complex projects involving software or AI implementations. Proficiency in agile methodologies (Scrum, Kanban) with hands-on experience leading agile teams through dynamic project environments. Solid knowledge of AI/ML fundamentals, including agentic AI concepts for autonomous decision-making and process orchestration. Strong analytical and communication skills to bridge technical AI details with business needs, including experience with cloud platforms (e.g., AWS, Google Cloud). Familiarity with project management software and collaboration tools; ability to handle international teams and remote coordination. Preferred Qualifications 2+ years in managing Agentic AI or AI/ML projects, with a focus on agentic process automation for enterprise use cases like workflow orchestration and intelligent agents. Experience leading projects with RPA platforms such as Automation Anywhere, Appian, or UiPath, including integration with AI for hybrid automation solutions. What We Offer Competitive compensation package, flexible hybrid/remote options based in India. opportunities for growth in AI certifications and professional development, and a supportive environment dedicated to advancing agentic AI and automation innovations.

Document Automation Engineer india 4 years None Not disclosed On-site Full Time

About the company IDS (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 Automation Proficiency 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