AI Workflow Automation Specialist

Why This Role Matters This role serves as the bridge between business processes and AI capabilities, ensuring that existing workflows are not only automated but intelligently replicated, optimized, and scaled. The focus is not simply on automationit is on deeply understanding how work is currently performed and transforming those processes into scalable, AI-driven systems that improve speed, accuracy, and operational efficiency. Role Overview We are looking for an AI Workflow Automation Specialist to design, implement, and scale intelligent workflow automation across multiple business functions. This role involves analyzing existing manual processes, translating them into AI-powered automated workflows, and continuously optimizing them for efficiency and scalability. This is a high-impact, cross-functional role that collaborates closely with Research, Operations, Finance, HR, and Marketing teams to identify automation opportunities and implement sustainable AI-driven solutions. Key Responsibilities 1. Workflow Analysis, Replication & Automation (Core Responsibility) Study, document, and map existing business workflows across departments such as Research, Operations, Onboarding, Reporting, Finance, and HR.Break down complex processes into structured logic, decision points, and automation-ready workflows.Replicate manual workflows using AI tools and automation platforms while preserving business logic and decision accuracy.Ensure automated processes consistently deliver reliable, scalable, and high-quality outcomes.2. Workflow Automation & Optimization Identify repetitive, manual, and time-intensive processes suitable for automation.Build end-to-end automated workflows using platforms such as Zapier, Make (Integromat), n8n, or similar tools.Continuously optimize workflows to reduce turnaround time, improve efficiency, and minimize manual intervention.Monitor automation performance and recommend improvements based on operational insights.3. AI Integration & Use Case Development Implement AI-powered solutions using technologies such as: OpenAI APIs / Large Language Models (LLMs)Claude and GPT-based systemsOCR, NLP, and intelligent document processing toolsDevelop automation use cases including: Document analysis and summarizationAutomated research and report generationClient onboarding and compliance workflowsEmail and communication automationData extraction and validationKnowledge management and AI assistants4. Data Integration & System Connectivity Integrate workflows with APIs, databases, CRMs, spreadsheets, and internal systems.Automate data movement across multiple platforms while maintaining data integrity.Ensure proper validation, error handling, logging, and audit trails within automation workflows.Troubleshoot integration issues and maintain workflow reliability.5. Process Improvement & Performance Optimization Analyze existing business processes to identify inefficiencies and automation opportunities.Reduce manual dependency while improving speed, accuracy, and scalability.Measure automation effectiveness through KPIs such as:Time savedError reductionProcess turnaround timeProductivity improvementsOutput quality6. Cross-functional Collaboration & Implementation Partner with business stakeholders to understand workflows and operational challenges.Translate business requirements into scalable automation solutions.Conduct user training and support teams during implementation and adoption.Maintain clear documentation for workflows, SOPs, and automation logic.Key Skills & Requirements Technical Skills Hands-on experience with workflow automation platforms such as Zapier, Make, n8n, or similar tools.Strong understanding of workflow mapping, process design, and business process automation.Experience working with AI tools and Large Language Models (OpenAI, Claude, Gemini, etc.).Basic understanding of APIs, JSON, webhooks, and system integrations.Familiarity with spreadsheets, databases, and CRM integrations.Experience with prompt engineering is an added advantage.Analytical & Process Skills Strong ability to analyze and deconstruct manual business processes into structured automation logic.Excellent problem-solving and analytical thinking skills.High attention to detail with a focus on process accuracy and quality.Ability to design scalable, reusable automation solutions.Soft Skills Strong communication and stakeholder management skills.Ability to collaborate effectively across multiple business functions.High ownership, accountability, and execution focus.Adaptability and willingness to learn emerging AI technologies. Preferred Qualifications Bachelor's degree in engineering, Computer Science, Information Systems, Business, or a related field.Experience in FinTech, financial services, consulting, or operations-intensive environments is preferred.Exposure to low-code/no-code automation platforms.Basic programming knowledge (Python preferred but not mandatory).Experience Why Thi