[EAE] AI Automation Engineer

Job Description We are looking for a Junior AI Automation Engineer who is passionate about technology, automation, Artificial Intelligence, and process improvement. The role will work across the department to identify repetitive, manual, and time-consuming workflows and transform them into automated, data-driven, and AI-enabled processes . You will work closely with engineering teams, project managers, technical leads, and department leadership to understand existing processes, identify improvement opportunities, develop automation solutions, and measure the business impact. This is an excellent opportunity for someone who wants to build practical experience in AI, automation, software engineering, data analytics, and digital transformation . Key Responsibilities 1. Process Discovery & Automation Identify repetitive and manual workflows across engineering and management functions. Understand existing processes by working directly with process owners and engineering teams. Analyze processes and identify opportunities for simplification and automation. Create process maps and automation proposals. Prioritize automation opportunities based on business value, effort, frequency, and feasibility. 2. Develop Automation Solutions Develop automation solutions using tools such as: Microsoft Power Automate Power Apps Power BI Python APIs Microsoft Teams / Microsoft 365 GitHub AI/LLM-based tools Integrate data from multiple systems and automate repetitive reporting activities. Develop scripts and utilities to eliminate manual engineering activities. Automate data collection, transformation, analysis, reporting, and notifications. 3. AI & GenAI Applications Explore practical applications of Generative AI within engineering and business workflows. Develop AI-assisted solutions for: Document summarization Meeting/action-item processing Report generation Information extraction Classification Engineering data analysis Knowledge retrieval Issue/defect analysis Evaluate emerging AI tools and identify opportunities to improve departmental productivity. 4. Dashboard & Data Automation Automate collection and consolidation of project and engineering data. Develop and maintain Power BI dashboards. Create automated KPI and management reports. Support engineering teams with data analysis and visualization. Ensure automated reports are accurate, reliable, and easy to maintain. 5. Continuous Improvement Measure the impact of automation initiatives. Track metrics such as: Manual hours saved Cycle-time reduction Reduction in repetitive activities Error reduction Process adoption Productivity improvement Continuously identify additional opportunities for digitalization. Examples of Potential Automation Projects The successful candidate may work on projects such as: Automated weekly/monthly management reporting Project status consolidation Automated KPI dashboards Meeting minutes and action-item automation Automated Teams notifications and reminders Engineering milestone tracking Defect/bug trend analysis Test execution and quality reporting Requirement-to-test traceability reporting Training and certification tracking Skill-matrix automation Engineering data collection Automated document analysis AI-powered engineering knowledge assistants Automated email/report generation Cross-system data consolidation Qualifications Mandatory Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, or a related technical field. Good programming skills in Python or other programming language Solid foundation in software engineering principles. Familiarity with Generative AI, Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), or modern AI application development. Experience with the use of Agents, Skills and Knowledge-bases setup Basic understanding of APIs and data integration. Analytical thinking, problem-solving, and debugging skills. Excellent communication and teamwork abilities, with a proactive and growth-oriented mindset. Passion for learning emerging technologies and applying AI to solve real-world engineering challenges. Good English communication skills and the ability to collaborate effectively with global stakeholders. Nice to have Experience or knowledge in one or more of the following is an advantage: Microsoft Power Automate Power Apps Power BI Python SQL REST APIs Microsoft Teams / Microsoft 365 Git/GitHub Azure Generative AI / LLMs Prompt Engineering RPA Data Analytics Machine Learning Success in This Role Within the first 6–12 months, the successful candidate is expected to: Build an automation opportunity pipeline for the department. Identify high-value repetitive workflows. Deliver multiple production-ready automation solutions. Establish measurable productivity improvements. Reduce manual reporting and administrative effort. Introduce practical AI-enabled workflows. Create reusable automation components and best practices. Establish a foundation for a scalable D