We are looking for a Solution Architect to design, shape, and guide the technical solutions underpinning AI Co-Workers across complex client and platform environments. This is a hands-on architecture role for someone who enjoys translating business needs into robust, cloud-native, AI-enabled systems. The Opportunity • Define end-to-end solution architectures that map client business requirements to scalable technical designs • Design and guide Kubernetes-based architectures supporting AI and application workloads • Lead solution design across cloud infrastructure, application services, data flows, and integrations • Work hands-on with public cloud services to shape deployable, production-ready solutions • Collaborate with engineers, AI developers, and platform teams to ensure architectures are implemented as designed • Support architecture workshops and design sessions with internal teams and client stakeholders • Ensure solutions align with SDLC practices from design through build, test, deployment, and operation • Design application and system architectures spanning APIs, services, and multi-component systems • Contribute to platform engineering efforts that enable teams to build and operate AI Co-Workers efficiently • Balance technical excellence with pragmatism, cost, scalability, security, and delivery speed Business Qualifications • Hands-on Kubernetes experience designing, building, or operating workloads on EKS, AKS, GKE, or self-managed Kubernetes • Hands-on experience with at least one public cloud provider such as AWS, Azure, or Google Cloud • Professional experience using at least two programming or scripting languages such as Python, Java, Go, C#, JavaScript/TypeScript, Ruby, Bash, or PowerShell • Experience working across the full software development lifecycle including CI/CD, testing, deployment, and operation • Demonstrated Solution Architect experience defining solutions that translate business needs into technology designs • Application architecture experience designing services, APIs, and multi-component software systems • Platform engineering experience building or operating platforms that enable other teams or customers Should have criteria • Hands-on Terraform experience for infrastructure provisioning and automation • Hands-on Helm experience for Kubernetes application deployment • More than five years of relevant professional experience • Exposure to enterprise or domain-wide architecture, including standards, roadmaps, or governance • Strong stakeholder management skills with senior or cross-functional stakeholders • Experience contributing to complex or high-stakes engagement scenarios such as large programmes, multi-vendor delivery, or regulated environments Preferred Qualifications • Relevant certifications such as AWS, Azure, GCP, CKA, CKAD, DevOps, DevSecOps, or programming certifications • Strong DevOps or DevSecOps experience, including CI/CD ownership, security practices, and infrastructure automation as a primary responsibility Disclaimer: We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house and the best way for candidates to express interest is by applying with your resume through our company website.