AI & Cloud Consultant

Job Description

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.

Qualifications

BE, BTech,MCA

Additional Information

14 - 17 Years