KPMG Ukraine
Assistant Manager - Cloud & AI Architect
- Compensation
- Not disclosed
- Location
- Bangalore, Karnataka, India
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Architecture
- Posted
Skills
Nice to have
- 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 Platfor
- 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
- 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 de
- Datacenter Architecture / VMWare – Understanding and working experience in architecting and modernizing datacenter infrastructure using VMware or equivalent virtualization platforms, with a strong tra
- Nutanix and RedHat OpenShift Virtualization Platforms – Familiarity with designing hybrid/private cloud architectures leveraging RedHat OpenShift, Nutanix platforms with hands-on experience in archite
- Networking Architecture – Demonstrated experience in designing resilient and fault-tolerant network architecture for datacenter and cloud infrastructure solutions. Familiarity with modern network arch
- Workplace Transformation – Proven experience in leading workplace transformation initiatives, including strategy formulation and execution of Active Directory and Microsoft 365 tenant-to-tenant migrat
Full description
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.
- Good to have skills –
- Datacenter Architecture / VMWare – Understanding and working experience in architecting and modernizing datacenter infrastructure using VMware or equivalent virtualization platforms, with a strong track record in leading complex datacenter migration and exit engagements, planning / merging new datacenter including workload assessment, planning, and execution.