Senior AI Cloud Architect (AI Platform) (AI Engineering)

TL;DR

Senior AI Cloud Architect (AI Platform): Owning the cloud architecture for the AI platform and shared services, focusing on defining reference architectures and making key technology choices. Focus on ensuring security, reliability, and automation as the platform scales, especially with GenAI and agentic AI.

Location: Flexible/hybrid, ideally near one of our development hubs in Scandinavia (Oslo, Stockholm, Copenhagen or Espoo).

Company

hirify.global is a leading software and technology consulting company providing customers across different industries with mission-critical solutions through specialized software businesses.

What you will do

• Design and evolve the target architecture for a public-cloud-first AI platform (Azure preferred).
• Build secure, compliant foundations: landing zones, identity, networking, encryption, secrets, logging, and policy-as-code.
• Architect for scale and automation: infrastructure as code, CI/CD, GitOps, self-service environments, and operational runbooks.
• Own platform reliability: observability, SLOs, incident patterns, performance, and cost optimization (FinOps).
• Define patterns for AI product integration: APIs, event-driven processing, data pipelines, and multi-tenant considerations.
• Partner with AI engineers/data scientists on MLOps and LLMOps: model delivery pipelines, feature stores, evaluation, and monitoring.

Requirements

• Senior – 8-10+ years of relevant experience, including service or solution architecture in complex product environments.
• Strong public cloud architecture skills (Azure: AKS/Container Apps, Functions, App Service, API Management, Event Hubs/Service Bus, Storage, SQL/Cosmos DB, Key Vault, Entra ID).
• Hands-on experience with automation: Terraform and/or Bicep, CI/CD (Azure DevOps/GitHub), and modern deployment practices.
• Proven security architecture skills: threat modeling, zero trust, network segmentation, secrets management, vulnerability management, and audit readiness.
• Experience building or operating AI/ML platforms: Azure ML/MLflow, model serving, data pipelines, and LLM integration patterns.
• Ability to translate business needs into pragmatic architectures and communicate clearly with both engineers and stakeholders.
• Fluent English required; Nordic language skills are a plus.

Nice to have

• Experience with GenAI platforms (e.g., Azure OpenAI) and guardrails: content filters, prompt injection defense, red teaming, and evaluation.
• Knowledge of data engineering components: Databricks/Spark, Delta Lake, data streaming, and search/vector databases.
• Certifications such as Azure Solutions Architect Expert, Azure Security Engineer, or similar.

Culture & Benefits

• Build technology that improves citizen services - with real-world scale and meaningful impact.
• A highly skilled, collaborative environment with room to influence architecture decisions end-to-end.
• Modern cloud-first stack, strong focus on security and responsible AI, and freedom to explore new approaches (including agentic AI).
• Professional growth, international collaboration, and a culture built on trust, transparency, and ownership.