AI Automation Engineer

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 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 Department AI & Automation capability.

Why BOSCH?

Because we do not just follow trends, we create them. Together we turn ideas into reality, working every day to make the world of tomorrow a better place. Do you have high standards when it comes to your job? So do we. At Bosch, you will discover more than just work.

Benefits and Career Opportunities

• Working in one of the Best Places to Work in Vietnam and Top 30 of the Most Innovative Companies all over the world
• English-speaking environment, with opportunity to be part of innovation team and work in global projects
• Onsite opportunities
• Engage in our diverse training programs which surely help strengthen both your personal and professionalism
• Flexible working time
• 13th-month salary bonus + attractive performance bonus (you'll love it!) + annual performance appraisal
• 100% offered salary and mandatory social insurances in 2-month probation
• 15++ days of annual leave + 1-day of birthday leave
• Premium health insurance for employee and 02 family members
• Lunch and parking allowance
• Good benefits of company activities such as: football, badminton, yoga, Aerobic, team building...