[EAE] AI Automation Engineer

The Bosch Group is a leading global supplier of technology and services. Its operations are divided into four business sectors: Mobility, Industrial Technology, Consumer Goods, and Energy and Building Technology. With technology that is “Invented for life,” Bosch wants to help improve quality of life and conserve natural resources.   The Bosch Group comprises Robert Bosch GmbH and its roughly 490 subsidiary and regional companies in over 60 countries. Including sales and service partners, Bosch’s global manufacturing, engineering, and sales network covers nearly every country in the world. Bosch’s innovative strength is key to the company’s further development.   Bosch Global Software Technologies Company Limited (BGSV)   is 100% owned subsidiary of Robert Bosch GmbH, offering end-to-end Engineering, IT, and Business Solutions.    Starting its operation from 2010 at Etown 2 in HCMC, BGSV is the first software development center of Bosch in Southeast Asia. BGSV nowadays have over 4,000 associates, with a global footprint and presence in the US, Europe, and the Asia Pacific region. With our unique ability to offer end-to-end solutions that connect sensors, software, and services, we enable businesses to move from the traditional to digital or improve businesses by introducing a digital element in their products and processes.   BGSV currently operates from three offices located at the following addresses:   1. Etown Building – 364 Cong Hoa Street, Ward 13, Tan Binh District, Ho Chi Minh City, Vietnam   2. OfficeHaus Building – 32 Tan Thang Street, Son Ky Ward, Tan Phu District, Ho Chi Minh City, Vietnam   3.  Capital Place Building – 29 Lieu Giai Street, Ngoc Khanh Ward, Ba Dinh District, Hanoi, Vietnam   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        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 emerg