Bosch Group: AI Technology Architect — bengaluru, India
Bosch Group lists a AI Technology Architect opening in bengaluru, India. The position is listed as full-time. The job description covers AI, cybersecurity.
Recruitment overview
| Organisation | Bosch Group |
|---|---|
| Post / role | AI Technology Architect |
| Employment type | Full-time |
| Notification / job ID | REF292998A |
| Job location | bengaluru, India |
| Work arrangement | On-site |
| Educational qualification | Degree / qualification: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related discipline |
| Experience required | 15+ years of experience in Software Engineering, Cloud Engineering, Data Engineering, or Solution Architecture |
| Salary / stipend | See employer notice for pay details |
| Last date to apply | See official notice |
About Bosch Group
Bosch's India activities span mobility, industrial technology, consumer goods, and energy and building technology. Its employer description identifies engineering development, manufacturing and commercial operations within that range. The group operates through multiple Indian businesses, including activities in automotive systems, software and engineering, industrial technology and home appliances. This makes Bosch a collection of related technology businesses rather than a single product operation, with different entities serving different industrial and consumer applications.
The position and its setting
Bosch Group lists AI Technology Architect in bengaluru, India, under reference REF292998A. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.
- Employment type: Full-time
- Employer listing date: 31 July 2026
- Contract type: Unlimited
- Legal Entity: Bosch Global Software Technologies Private Limited
- Brands: Bosch Group
Responsibilities and work described
- BGSW is looking for an experienced AI Technology Architect to design, govern, and scale enterprise AI solutions across the organization
- In this role, you will define AI architecture standards, drive technical excellence, and enable the successful adoption of AI, Generative AI, and Agentic AI technologies across business functions
- Work: closely with global teams to build secure, scalable, and enterprise-grade AI platforms that deliver business value
- Design: and define enterprise architecture for AI, Generative AI, and Agentic AI solutions
- Development: architecture standards, reference architectures, reusable frameworks, and best practices for enterprise AI adoption
- Leadership: solution architecture for strategic AI products, platforms, and transformation initiatives
- Drive AI engineering excellence through MLOps, LLMOps, model lifecycle management, observability, governance, and security
- Quality / delivery: seamless integration of AI solutions with enterprise applications, cloud platforms, APIs, and data ecosystems
- Delivery: architectural guidance throughout the solution lifecycle—from design and development to deployment and production support
- Evaluate emerging AI technologies and recommend innovative solutions aligned with business objectives
- Collaboration: with engineering, cloud, cybersecurity, and business teams to deliver scalable and resilient AI platforms
- Mentor engineering teams and promote architecture best practices across the organization
Essential requirements and candidate background
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related discipline
- Experience:
- 15+ years of experience in Software Engineering, Cloud Engineering, Data Engineering, or Solution Architecture
- Expertise in Artificial Intelligence, Machine Learning, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI
- Experience: Azure AI, AWS AI, Google Cloud AI, or equivalent cloud AI platforms
- Experience: MLOps, containerization, APIs, microservices, cloud-native architectures, and enterprise integration
- Delivery management of AI platform architecture, scalability, and production deployment
- Analytical, problem-solving, and stakeholder management skills
- TOGAF or equivalent architecture certifications
- Experience: enterprise governance and security frameworks
- Stakeholder management and consulting skills
Preferred experience and additional strengths
- SAP S/4HANA transformation exposure
- Cloud certifications (AWS/Azure/GCP)
- Experience working with global delivery teams
- Why Join Bosch?
- At Bosch, you will help shape the AI foundation powering next-generation products, engineering solutions, and digital transformation initiatives
- Collaborate with global experts, influence enterprise technology strategy, and work on cutting-edge AI technologies that create real business impact at scale
Location, schedule and contract conditions
- Work arrangement: On-site
- Advertised location: bengaluru, India
Pay and application dates
A verified salary figure is not established in this article. An online estimate for another AI Technology Architect vacancy is not an offer for reference REF292998A; use the employer’s own pay disclosure and recruitment communication.
A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.
How to apply to Bosch Group
Applications follow the official employer page linked below.
Open the official Bosch Group posting below and match the title and reference REF292998A.
Compare your qualifications and experience with the essential conditions for the bengaluru, India position, then read the preferred criteria separately.
Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.
Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.
Practical preparation: AWS
For AWS experience, describe the workload and the services you actually configured or operated. Useful detail includes deployment, access controls, monitoring, recovery or cost decisions where those were your responsibility.
Relevant skills
- AWS
- GCP
- Azure
- APIs
- AI/ML
- LLMs
- SAP
- AI
- cybersecurity
- Google Cloud
- machine learning
Important links
| Official notification / job description | Open official page |
|---|---|
| Online application portal | Open official page |
Read the complete official notice before applying. Availability and requirements can change.
For corrections, see our editorial policy and contact information.