Public Cloud Solutions Architect

Overview

A senior, client-facing Public Cloud Solutions Architect who acts as the trusted advisor, turning business goals into cloud architecture across AWS, Microsoft Azure and Google Cloud, and leading it through delivery.

What you'll do

• Act as the go-to expert on public cloud for clients, including design for AI and agentic AI from data and platform foundations through to workloads.
• Run discovery and assessment workshops, and build the business case and total cost of ownership.
• Translate requirements into well-architected solutions on AWS, Microsoft Azure and Google Cloud.
• Decide what Kyndryl will deliver, and design the landing zones, networking, identity, data and application patterns behind it.
• Lead implementation teams to a clean result, staying through delivery so the architecture goes live on time, on budget and secure by design.
• Help shape the strategy and the migration and modernization roadmap.
• Mentor other architects and consultants, and build reference architectures and reusable accelerators.
• Help set delivery standards and governance.
• Help set Kyndryl apart through agentic AI, automation and modernization accelerators.
• Know when to bring in specialist SMEs.

What you'll need

• 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.
• 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 professional-level cloud certification (for example, AWS Solutions Architect Associate or Professional, Microsoft Azure Solutions Architect Expert, or Google Professional Cloud Architect).

Nice to have

• 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.

Details

• Location: Bangalore, Karnataka, India.
• Travel: there may be opportunity to travel.