Assistant Manager - Cloud & AI Architect
KPMG Global Services · Bengaluru
Desired Skills and Experience:
7 - 10 years of experience with architecting, designing and implementing end-to-end cloud infrastructure solutions across leading Cloud platforms with a special focus on Azure and Google Cloud Platform
Hands‑on experience in Python development with the ability to design and build proof-of-concept (POC) Generative AI and Agentic AI use cases, leveraging services such as Google Cloud Vertex AI, Azure AI Foundry, and Microsoft Copilot Studio.
Familiarity with Large Language Models (LLM) application development frameworks, Retrieval‑Augmented Generation (RAG) architectures is good to have.
Must have skills –
Cloud Infrastructure Architecture – Demonstrated expertise in architecting secure, scalable, and resilient hybrid and cloud-native infrastructure solutions on Azure and GCP, with deep knowledge of cloud services, networking, IAM, cost optimization, multi-cloud strategies, and hands-on experience with the pillars of the well-architected framework.
Design and Development of AI Solutions on Cloud – Basic understanding and hands-on experience designing cloud infrastructure solutions to support AI/Generative AI/Agentic AI proof-of-concept use cases / solutions using either of the below platforms:
Google Cloud Vertex AI (Prompt Design, Agent Builder, Vector Search, LLM orchestration, Tooling)
Azure AI Foundry / Azure OpenAI (Prompt Flow, Agent orchestration, Model deployments)
Microsoft Copilot Studio (Plugins, custom connectors, enterprise data grounding, agent behavior design)
Strong hands-on Python development experience will be preferred.
Infrastructure-as-Code (IaC) and Configuration Management – Hands-on expertise in Infrastructure as Code (IaC) and configuration management leveraging tools such as Terraform, Ansible, python scripting etc. with a strong track record of automating cloud infrastructure provisioning, ensuring consistency and compliance across multi-cloud and hybrid environments.
DevOps / DevSecOps Knowledge – Extensive experience in designing and implementing enterprise-grade DevOps and DevSecOps solutions, with strong proficiency in GitHub, GitHub Actions, and enterprise CI/CD pipelines (Azure DevOps, Jenkins, Cloud Build etc.). Understanding secure coding practices, release automation, versioning, artifact management, and code-quality tooling.
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