AI Automation Lead

Lead – AI Automation & Digital Transformation

Global Trading | Minerals & Metals | Manufacturing | Supply Chain | Trade FinanceLocation: Hyderabad, IndiaExperience: 6–10 yearsEmployment:Full-timeReporting: Group President / Senior Management

1. Key Responsibilities

• A. AI Agents, Bots & Workflow AutomationDesign and deploy AI agents and bots to automate business processes.
• Build automated workflows using Python, n8n, Power Automate, UiPath, or equivalent tools.
• Automate data collection, document processing, email classification, task allocation, approvals, reminders, and management reporting.
• Develop AI solutions to extract, analyze, validate, and organize structured and unstructured data.
• Implement workflow orchestration, exception handling, audit trails, and human approval mechanisms.
• B. Trade, Manufacturing & Supply Chain AutomationAutomate end-to-end purchase-to-pay and order-to-cash processes.
• Digitize RFQs, quotations, purchase orders, sales contracts, supplier management, and customer order tracking.
• Develop systems to monitor raw materials, production, quality checks, inventory, warehouse movements, and dispatches.
• Automate import/export documentation, including invoices, packing lists, bills of lading, certificates of origin, and customs-related documents.
• Integrate shipping, logistics, freight forwarding, delivery tracking, and transaction-level profitability.
• Establish transaction visibility across all group companies.
• C. Global Market Research & Commercial IntelligenceDevelop AI-powered research systems for international minerals and metals markets.
• Build structured databases of global buyers, suppliers, manufacturers, importers, exporters, commodity traders, and logistics providers.
• Automate market research by commodity, country, trade route, demand, supply, and business opportunity.
• Collect and analyze data from authorized trade databases, public registries, and market intelligence platforms.
• Implement data enrichment, duplicate detection, company classification, contact verification, and database updates.
• Generate actionable market intelligence reports for commercial and business development teams.
• D. Trade Finance, Banking & Investment IntelligenceBuild databases of international banks, NBFCs, trade finance institutions, private credit funds, alternative lenders, and investment institutions.
• Develop tools to identify suitable funding sources based on geography, commodity, transaction type, collateral, and financing requirements.
• Automate lender research, eligibility screening, outreach, follow-ups, and financing pipeline tracking.
• Organize financing documents, transaction data, KYC requirements, and due diligence checklists.
• Automate monitoring of letters of credit, bank guarantees, receivables financing, invoice discounting, trade loans, and working capital facilities.
• Develop dashboards for funding proposals, lender engagement, sanctions, disbursements, repayments, and outstanding obligations.
• E. Group MIS & Management DashboardsDevelop centralized MIS dashboards for multiple group companies and international operations.
• Consolidate data from ERP, accounting systems, spreadsheets, databases, emails, and operational applications.
• Automate daily, weekly, and monthly management reports.
• Build dashboards covering procurement, production, sales, shipments, inventory, profitability, working capital, cash flow, receivables, and financing.
• Set up exception-based alerts for timely management intervention.
• Establish standardized reporting definitions, data quality controls, and entity-wise access permissions.
• F. Systems Integration & Technology ArchitectureDesign scalable databases, APIs, data pipelines, workflow engines, and internal applications.
• Integrate ERP, CRM, accounting, document management, and communication platforms.
• Develop secure cloud-based or hybrid technology infrastructure.
• Implement role-based access, encryption, logging, monitoring, backup, and recovery mechanisms.
• Ensure compliance with applicable data protection, cross-border data transfer, and commercial data licensing requirements.
• Maintain technical documentation, source code repositories, testing processes, and deployment standards.
• 2. Mandatory Technical QualificationsStrong proficiency in Python, SQL, REST APIs, and backend development.
• Hands-on experience developing AI agents, LLM integrations, tool-calling systems, and Retrieval-Augmented Generation (RAG) solutions.
• Practical experience with n8n, Power Automate, UiPath, or equivalent automation platforms.
• Experience in database architecture, ETL/ELT pipelines, data extraction, validation, and integration.
• Working knowledge of PostgreSQL, SQL Server, or equivalent relational databases.
• Experience with Power BI or equivalent business intelligence tools.
• Experience integrating ERP, CRM, finance, and third-party business applications.
• Familiarity with cloud infrastructure, Docker, Git, CI/CD, testing, and production monitoring.
• Ability to independently develop, deploy, maintain, and troubleshoot production-ready solutions.
• 3. Preferred Industry ExperienceInternational trade and commodity trading operations.
• Manufacturing, procurement, supply chain, and logistics technology.
• Trade finance, banking, lending, or fintech automation.
• Multi-company, multi-currency, and cross-border business operations.
• Enterprise automation projects with measurable business outcomes.
• 4. Key Performance Indicators (KPIs)Number of production-ready automations deployed and adopted.
• Reduction in manual processing time and repetitive tasks.
• Improvement in transaction visibility and operational turnaround time.
• Accuracy, completeness, and freshness of business intelligence databases.
• Reliability of system integrations and management dashboards.
• Reduction in reporting delays and operational exceptions.
• Measurable commercial value generated through automation, market intelligence, and financial visibility.
• 5. Ideal Candidate ProfileA hands-on technology professional with strong development and implementation capabilities.
• Technically independent, analytical, commercially aware, and comfortable working with senior leadership.
• Able to understand business operations and translate requirements into practical technology solutions.
• Capable of writing and reviewing code, integrating systems, and troubleshooting production issues.
• Experienced in building scalable automation and digital intelligence infrastructure.
• A high-ownership individual focused on execution, measurable outcomes, and continuous improvement.
• 6. Role OverviewRole: Lead – AI Automation & Digital Transformation
• Nature: Hands-on technical leadership and implementation.
• Focus: AI agents, workflow automation, business intelligence, systems integration, and end-to-end process digitization.
• Objective: Build and scale the digital intelligence and automation infrastructure of an international business group.