[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 comprisesRobert Bosch GmbHand 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 fromthree officeslocated 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 aJunior 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 intoautomated, 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 inAI, 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 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 scalableDepartment AI & Automation capability.

WHY BOSCH?

Because we don't just follow trends, we create them.

Because 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 Workin Vietnam and Top 30 of the Most Innovative Companies all over the world
• Join a dynamic and fast-growing global company (English-speaking environment)
• Engage in ourdiverse training programs which surely help strengthen both your personal and professionalism
• 13th-month salary bonus + attractive performance bonus (you'll love it!) + annual performance appraisal
• 100% monthly salary and mandatory social insurances in 2-month probation
• Meal,Commutingand Parkingallowance
• Premium health insurance for you and 02 family members
• 15++ days of annual leave + 1 day of birthday leave
• Flexibleworking time
• Free in-house entertainment facilities andsport activities: football, badminton, yoga, Aerobics….
• Vibrant culture: Enjoy team-building events, company trips, year-end parties, tech talks, charity & CSR initiatives
• Onsite opportunities: short-term and long-term assignments