AI & Cloud Consultant

Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region. 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. Key Responsibilities: - 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. - Develop PoCs, prototypes, and MVPs to validate innovative cloud and AI use cases and accelerate adoption. - Collaborate with business stakeholders, architects, product teams, developers, and external technology partners. - Evaluate emerging technologies and assess their applicability, maturity, risks, and business value. - Ensure 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. - Contribute to technology communities, competency development, mentoring, and knowledge-sharing initiatives. - Support customers and internal stakeholders in defining cloud and AI roadmaps and transformation strategies. Core Technical Skills Cloud - Strong understanding of cloud concepts, cloud-native architecture, and services. - Experience with one or more major cloud platforms such as Microsoft Azure, AWS, or Google Cloud. - Understanding of containers, APIs, microservices, serverless technologies, and cloud security. AI / GenAI - Understanding of Generative AI, LLMs, prompt engineering, RAG, AI agents, embeddings, and vector databases. - Experience developing or integrating AI-powered applications and services. - Understanding of responsible AI, data privacy, security, and AI governance. Engineering - Programming experience in technologies such as Python, Java, JavaScript/TypeScript or ABAP. - Experience with REST APIs, event-driven architecture, Git, CI/CD, and DevOps practices. - Understanding of databases, data platforms, and data integration. Consulting & Leadership Competencies - Strong problem-solving and analytical thinking with the ability to move from problem identification to solution shaping. - Strong stakeholder management and communication skills. - Ability to translate complex technology concepts into business outcomes and value propositions. - Customer-centric mindset with strong consulting and influencing skills. - Ability to work effectively in cross-functional and distributed teams. - Curiosity and continuous learning mindset toward emerging cloud and AI technologies. - Ability to take end-to-end ownership and drive solutions from ideation ? PoC ? MVP ? production adoption. Experience & Qualifications - Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field. - Typically 14+ years of experience in IT consulting, cloud engineering, solution architecture, enterprise applications, or digital transformation. - Demonstrated experience delivering cloud-based or AI-enabled solutions. - Experience working with enterprise customers and multiple stakeholders. - Cloud certification such as Azure, AWS, or Google Cloud is desirable. - SAP BTP / SAP AI / relevant AI certifications are an advantage.   BE, BTech,MCA 14 - 17 Years