The Role

As a Public Cloud Solutions Architect at Kyndryl, you act as the trusted advisor who turns business goals into cloud architecture that actually ships

You work closely with client executives, enterprise architects, security and compliance teams, governance, delivery, and our hyperscaler partners to keep everyone aligned on one technical direction

You get involved early, helping shape the strategy and the migration and modernization roadmap, and you stay through delivery so the architecture goes live on time, on budget, and secure by design

This is a senior, client-facing role

To the client, you are the go-to expert on public cloud

You run discovery and assessment workshops, build the business case and total cost of ownership, and translate requirements into well-architected solutions on AWS, Microsoft Azure, and Google Cloud

Increasingly, that means designing for AI and agentic AI as well, from the data and platform foundations through to the workloads themselves

You will decide what Kyndryl will deliver, design the landing zones, networking, identity, data, and application patterns behind it, and lead the implementation teams to a clean result

The role goes beyond any single engagement

You will mentor other architects and consultants, build reference architectures and reusable accelerators, and help set our delivery standards and governance

You will also help set Kyndryl apart through newer capabilities such as agentic AI, automation, and modernization accelerators that improve delivery quality, speed, and the value clients see

Kyndryl works across all the major public cloud platforms, so you will use what you know, keep building on it, and know when to bring in specialist SMEs

Who You Are

Required Technical and Professional Experience

- 8+ years designing and delivering enterprise IT solutions,



including at least 4+ years focused on public cloud architecture

- Deep, hands-on solutions architecture experience on at least one major hyperscaler (Amazon Web Services, Microsoft Azure, or Google Cloud) and working knowledge of a second; multi-cloud experience strongly preferred

- A track record leading cloud migration and modernization programs, covering assessment and discovery, the 7 Rs (rehost, replatform, refactor, and so on), landing zone and well-architected design, and large-scale workload migration

- Strong command of core cloud domains: compute, storage, networking (VPC/VNet, hybrid connectivity, DNS, load balancing), identity and access management, and cloud security and governance

- Solid grasp of cloud-native and modernization patterns: containers and Kubernetes (EKS/AKS/GKE), microservices, serverless, and application refactoring

- Hands-on experience designing and delivering AI and agentic AI solutions on cloud, including the underlying data and platform foundations, the AI/ML services across AWS, Azure, and Google Cloud, and how generative and agentic workloads change architecture, security, and cost

- Experience applying AI to the delivery itself, using AI-led approaches, automation, and agentic tooling to speed up assessment, migration, modernization, and quality assurance

- Experience with infrastructure as code and automation (Terraform, CloudFormation, ARM/Bicep, Ansible) and with CI/CD and DevOps practices

- Practical understanding of security by design,



cloud cost optimization (FinOps), and well-architected or cloud adoption frameworks

- Proven consulting skills: running client workshops, building business cases and TCO/ROI models, presenting to and influencing senior stakeholders up to C-level, and guiding delivery teams as the lead architect

- At least one current associate- or skilled-level cloud certification (for example, AWS Solutions Architect Associate or Professional, Microsoft Azure Solutions Architect Expert, or Google Professional Cloud Architect)

Preferred Technical and Professional Experience

- Professional- or expert-tier and multi-cloud certifications across AWS, Azure, or GCP

- Experience in a consulting, professional services, or systems integrator setting delivering cloud work for enterprise clients

- Familiarity with hybrid and on-premises-to-cloud platforms (VMware Cloud Foundation, Nutanix, AWS Outposts, Azure Stack/Arc, Google Distributed Cloud)

- Deeper specialization in agentic AI, such as multi-agent systems, agent orchestration and governance (AgentOps), retrieval-augmented generation, and integrating large language models into enterprise workflows and platforms

- Experience mentoring architects and contributing reusable reference architectures, accelerators, and delivery standards

- Industry or regulated-environment experience (financial services, public sector, healthcare), including data sovereignty and compliance considerations

- Excellent written and verbal communication skills and the confidence to work with stakeholders at all levels

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Public Cloud Solutions Architect (Bengaluru)
🏢 Kyndryl
📍 Bengaluru