Solution Architect

We are seeking a Senior Cloud Architect to join our company IT AI and own the Azure cloud and AI infrastructure that powers intelligent automation across the enterprise.This is a deeply hands-on role. You will design, build, and govern the full-stack architecture, from enterprise networking and private connectivity up to AI orchestration, delivering the platform to the development teams while partnering with the Systems, Network, and Security teams to connect, govern, and approve every design before it goes live. How will you make an impact?

You will own our company's IT AI cloud architecture end-to-end, combining hands-on Azure engineering with architectural leadership across these areas: Cloud Architecture Design &

• Implementation Own the end-to-end Azure architecture for AI workloads (LLMs, RAG, vector DBs, Graph, agents, MLOps) across all platform layers, with reference designs and ADRs.

Enterprise

Networking &

• Private Connectivity Design hub-and-spoke VNets, private connectivity (Private Endpoints, Private DNS), firewall/ingress patterns, and isolated multi-environment topology (prod / dev / test). AI Developer Toolchain &
• Platform Engineering Architect the developer AI stack, Azure AI Foundry, GitHub Copilot, Claude/MCP, Models Gateway, and scaled tooling distribution (MDM / Intune). CI/CD, DevOps &
• Platform Automation Establish CI/CD (GitHub Actions), Infrastructure-as-Code (Terraform / Bicep), and compute, MLOps/LLMOps, and FinOps practices with the DevOps team. Identity, Security &
• Governance Design IAM and auth flows (Entra ID, OIDC/JWT, API gateway validation) and the observability stack, and secure Security-team review and approval of every architecture. Cross-functional Leadership Act as architectural liaison across AI CoE, Development, DevOps, Infrastructure, Systems, Network, and Security; mentor engineers and own the platform roadmap.Requirements: 8 years in software/cloud architecture, with 5 years hands-on Azure (AKS, Azure OpenAI/AI Foundry, APIM, Key Vault, ACR, Azure Monitor) Strong Azure networking: hub-and-spoke VNets, peering, Private Endpoints, Private DNS, firewalls, and S2S VPN / ExpressRoute Proven track record building AI/ML infrastructure in production (LLMs, RAG, vector search, agents) Deep Infrastructure-as-Code (Terraform / Bicep) and CI/CD (GitHub, GitHub Actions) expertise Enterprise IAM and security: Entra ID, OAuth2/OIDC, managed identities, RBAC, and zero-trust connectivity Hands-on with containers and orchestration (Docker, Kubernetes/AKS) and observability tooling (OpenTelemetry, Grafana, Azure Monitor) Experience integrating AI developer tools (GitHub Copilot, Azure AI Foundry, Anthropic / OpenAI APIs) and MCP/A2A patterns Fluency in English.This position is open to all candidates.