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About the role
Role & responsibilities 1. Cross-Departmental AI Integration Operations & Admin: Implement automated document processing, email classification, meeting summaries, SOP lookups, and internal knowledge-base search bots using retrieval-augmented generation (RAG) or Custom GPTs. Supply Chain & Purchase: Build automated tracking workflows, vendor quotation comparison matrices, inventory reorder alerts, and purchase order audit scripts. Business Development (BD) & Export: Deploy AI agents for lead generation, international market research, automated multi-lingual email outreach, and client communication drafting. Marketing & Visual Graphics: Utilize generative AI image/video generation tools (Midjourney, Flux, Canva AI, Runway) to rapidly create product mockups, promotional collateral, social media posts, and localized marketing assets. Regulatory & Quality Assurance:Create AI-driven document parsing tools to cross-reference batch manufacturing records (BMR), regulatory dossiers, international export compliance checklists, and COA (Certificate of Analysis) verifications. Accounts & Finance:Automate invoice extraction (OCR), expense tracking, ledger reconciliation flags, and automated payment follow-up drafting. 2. Workflow Automation & Custom AI Agents * Design and deploy low-code/no-code automated workflows using tools like Make.com, Zapier, or n8n. * Create, configure, and maintain specialized internal Custom GPTs and AI Assistants tailored for specific business functions (e.g., Regulatory Dossier Assistant, Purchase RFQ Generator). * Monitor API usage, workflow efficiency, and cost optimization across OpenAI, Anthropic, and open-source models. 3. Change Management & Training * Conduct weekly hands-on training sessions for team leads and staff to boost organization-wide AI literacy. * Maintain a centralized library of verified prompts, AI templates, and automation playbooks for team use. --- Required Qualifications & Skills Education: Bachelors degree in Computer Science, Information Technology, Engineering, Data Science, or a business/analytical discipline with strong self-taught AI expertise. Technical Proficiency: Advanced mastery of LLMs (ChatGPT, Claude, Gemini, Perplexity) and Prompt Engineering. Practical expertise in low-code automation tools (Make.com, Zapier, n8n). Hands-on experience with visual generative AI tools (Midjourney, DALL-E 3, Canva AI, Photoshop AI). Familiarity with document parsing/OCR tools (LlamaParse, Adobe Acrobat AI, Google Document AI). Basic knowledge of Python, REST APIs, and JSON structures is a strong advantage. Business Acumen : Ability to shadow department heads, understand operational bottlenecks, and translate vague requirements into structured AI workflows. Mindset: Highly proactive, curious, self-driven, and execution-focused. Key Performance Indicators (KPIs) 1. Process Time Reduction: Measure time saved in high-volume functions (e.g., automated invoice processing, regulatory document generation). 2. AI Adoption Rate: Percentage of daily/weekly workflows automated across all 8+ business functions. 3. Workflow Uptime & Accuracy: Ensuring automated agent triggers run error-free and output verified data.