Bosch Group: AI & Cloud Consultant — bangalore, India

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 & Cloud Consultant in bangalore, India, under reference REF297906N. 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: 13 October 2026
• Contract type: Unlimited
• Legal Entity: Bosch Global Software Technologies Private Limited
• Brands: Bosch Group

Responsibilities and work described

• Job Description
• As a Cloud & AI Consultant, you will drive the adoption of cloud and AI technologies to solve complex business challenges and enable digital transformation
• The role combines business consulting, cloud technology, AI/GenAI, integration, and solution architecture to deliver scalable, secure, and business-value-driven solutions
• Understand business challenges and translate them into cloud, AI, and digital solution opportunities
• Design: and implement scalable solutions using cloud platforms, AI/GenAI, APIs, integration, and modern application technologies
• Identify opportunities to apply Generative AI, Agentic AI, automation, and intelligent applications to improve business processes and user experience
• Work: with Cloud ecosystem technologies to extend and integrate enterprise applications where applicable
• Define solution architecture, technology choices, integration patterns, and implementation approaches aligned with enterprise standards
• Development: PoCs, prototypes, and MVPs to validate innovative cloud and AI use cases and accelerate adoption
• Collaboration: with business stakeholders, architects, product teams, developers, and external technology partners
• Evaluate emerging technologies and assess their applicability, maturity, risks, and business value
• Quality / delivery: solutions address key aspects such as security, scalability, data privacy, performance, maintainability, and cost optimization
• Create reusable accelerators, frameworks, patterns, and knowledge assets to enable adoption across projects and teams
• Contribution: to technology communities, competency development, mentoring, and knowledge-sharing initiatives
• Support: customers and internal stakeholders in defining cloud and AI roadmaps and transformation strategies

Essential requirements and candidate background

• Cloud
• Understanding: cloud concepts, cloud-native architecture, and services
• Experience: one or more major cloud platforms such as Microsoft Azure, AWS, or Google Cloud
• Understanding: containers, APIs, microservices, serverless technologies, and cloud security
• AI / GenAI
• Understanding: Generative AI, LLMs, prompt engineering, RAG, AI agents, embeddings, and vector databases
• Experience developing or integrating AI-powered applications and services
• Understanding: responsible AI, data privacy, security, and AI governance
• Engineering
• Programming experience in technologies such as Python, Java, JavaScript/TypeScript or ABAP
• Experience: REST APIs, event-driven architecture, Git, CI/CD, and DevOps practices
• Understanding: databases, data platforms, and data integration
• Consulting & Leadership Competencies
• Problem-solving and analytical thinking with the ability to move from problem identification to solution shaping
• Stakeholder management and communication skills
• Translate complex technology concepts into business outcomes and value propositions
• Customer-centric mindset with consulting and influencing skills
• Work effectively in cross-functional and distributed teams
• Curiosity and continuous learning mindset toward emerging cloud and AI technologies
• Take end-to-end ownership and drive solutions from ideation ?

Education and qualification routes

• Degree / qualification: Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field
• Degree / qualification: BE, BTech,MCA

Experience and professional background

• Typically 14+ years of experience in IT consulting, cloud engineering, solution architecture, enterprise applications, or digital transformation
• Experience stated: 14 - 17 Years

Preferred experience and additional strengths

• Cloud certification such as Azure, AWS, or Google Cloud is desirable

Location, schedule and contract conditions

• Work arrangement: On-site
• Advertised location: bangalore, India

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another AI & Cloud Consultant vacancy is not an offer for reference REF297906N; 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 REF297906N.

Compare your qualifications and experience with the essential conditions for the bangalore, 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: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• Java
• JavaScript
• TypeScript
• CI/CD
• AWS
• GCP
• Azure
• REST APIs
• APIs
• AI/ML
• LLMs
• SAP
• Google Cloud
• Git