KPMG Global Services:
KPMG Global Services (KGS) was set up in India in 2008. It is a strategic global delivery organization, which works with more than 50 KPMG member firms to provide a progressive, scalable and customized approach to business requirements
The KGS journey has been one of consistent growth, with a current employee count of nearly 10,000 operating from four locations in India Bengaluru, Gurugram, Kochi and Pune, providing a range of Advisory and Tax-related services to member firms within the KPMG network.
As part of KPMG in India, we were ranked among the top companies to work for in the country for four years in a row by LinkedIn and recognized as one of the top three employers in the region for women, as well as for policies on Inclusion & Diversity by ASSOCHAM (The Associated Chambers of Commerce & Industry of India).
Furthermore, as KPMG in India, we were recognized as one of the Best Companies for Millennials at The Millennial Max Conference 2019 presented by The LNOD Roundtable as well as the Great Indian Workplace at the Culture Summit and Great Indian Workplace Awards 2019.
Job Description: Cloud AI Infra Architect:
Desired Skills and Experience:
- 5.5 - 8 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
- Handson 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, RetrievalAugmented 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.
- Nutanix and RedHat OpenShift Virtualization Platforms Familiarity with designing hybrid/private cloud architectures leveraging RedHat OpenShift, Nutanix platforms with hands-on experience in architecting and implementing VMWare to OpenShift migration engagements would be an added advantage.
- Networking Architecture Demonstrated experience in designing resilient and fault-tolerant network architecture for datacenter and cloud infrastructure solutions. Familiarity with modern network architecture concepts such as Software-defined networking (such as SDWAN etc.).
- Workplace Transformation Proven experience in leading workplace transformation initiatives, including strategy formulation and execution of Active Directory and Microsoft 365 tenant-to-tenant migrations, with strong understanding of identity, access, and collaboration architecture in enterprise environments.
- Site Reliability Engineering Knowledge of implementing Site Reliability Engineering (SRE) practices, including reliability design, observability, incident response, and automation to ensure scalable, resilient, and high-performing cloud infrastructure on leading tools such as ELK/Dynatrace/Splunk/Grafana etc.
- Enterprise Architecture Deep understanding and implementation experience of enterprise architecture frameworks and principles across multiple industry sectors, preferably TOGAF-certified, with strong capabilities in architecture governance, technology alignment, and driving strategic transformation initiatives.
Professional Certifications: AI Certifications: AI102, Google Generative AI Leader, Vertex AI Engineer, Google Cloud ML Engineer; Azure Cloud Certifications: AZ305, AZ104, AZ400; GCP Certifications: Professional Cloud Architect, Professional Cloud DevOps Engineer; TOGAF (Good to have)
