AI & Infra Solution Architect
The Solution Architect is the lead technical visionary responsiblefor designing and integrating the end-to-end infrastructure for the Group’snext-generation platforms. This role bridges the gap between traditional IT(Servers, Networks, DevSecOps), the industrial physical layer (OT/IoT) and AIplatforms. As a Senior member of the team, you will move beyond day-to-dayoperations to create the high-level designs, reference architectures, andautomation frameworks that ensure our AI, OT and IoT environments are secure,scalable, and operationally resilient. You are the architect of the"bridge" that allows data to flow securely from industrial sensors toenterprise data centers and will manage a team of system engineers to deliverand implement. Key Responsibilities End-to-End Infrastructure Architecture Server & Cloud Design: Work with partners to design server architectures (on-prem, cloud, and edge) to support projects. Ensure that design and architecture is fit-for-purpose – i.e. low-latency IOT, OT data processing. Network Strategy: Architect secure network topologies, focusing on IT/OT segmentation, firewall placement (DMZ), and secure remote access for vendors and internal teams. Integration: Ensure fit-for-purpose connectivity between diverse and disparate environments and ensure required segregation with enterprise IT systems. Future proof: Design and implement that the next generation architecture for AI and GPUs DevSecOps& Automation Leadership CI/CD Pipeline Design: Govern and own the implementation of DevSecOps practices within the environment, ensuring that security scanning and compliance checks are automated. Infrastructure as Code (IaC): Develop and maintain IaC templates (e.g., Terraform, Ansible) to standardize the deployment of server and network environments. Vulnerability Management: Design automated processes for patching and updating OT/IoT devices and server infrastructure without disrupting mission-critical operations. OT / IoTStrategy & Converged Governance Reference Architectures: Develop and maintain the Master Reference Architecture for OT/IoT environments. Asset Lifecycle Design: Create frameworks for secure device onboarding, provisioning, and decommissioning. Technology Selection: Evaluate and select IoT gateways, industrial PCs, and edge computing hardware that align with N2 performance and security standards. TechnicalLeadership & Stakeholder Management Advisory: Act as the primary technical advisor to the N2 projects (Cloud and Edge), OT / IoT Lead and Business Project Owners. Vendor Management: Review and approve vendor technical designs to ensure they meet the Group's architectural standards. Mentorship: Provide technical guidance to the N2 Systems Engineers in the N2 Platform and Service Operations teams. AI &GPU Acceleration Strategy Edge AI Deployment: Architect and design the architecture to enable the deployment of AI-driven analytics and GPU-accelerated workloads across the N2 platform. This includes designing a framework and infrastructure to allow Edge AI for real-time computer vision, anomaly detection, and predictive maintenance within OT environments and the Resource Orchestration. GPU as a Service : Evaluate and manage GPU as a Service for the organization to ensure the N2 ecosystem can support the AI development that the organization is undertaking. JobRequirement 8+ years of experience in IT infrastructure/system engineering. 5+ years in a Solution Architect role, specifically dealing with converged cloud and edge solutions, preferably experience in IT/OT environments or IoT deployments. Work with a team of systems engineers to design, implement and operate enterprise platforms. Certifications (Highly Desired):
Architecture: AWS Solutions Architect Professional or TOGAF. Cybersecurity: CISSP, GICSP (Global Industrial Cybersecurity Professional). Infrastructure: CCNP/CCIE (Security or Enterprise) or equivalent. Technical& Domain Knowledge