Cloud Security & AI Solutions Architect

Cloud Security & AI Solutions Architect   Location: Katowice - 2 days office / 3 days remote Let us introduce you the job offer by EY GDS Poland – a member of the global integrated service delivery center network by EY. The opportunity We are seeking an experienced Cloud Security & AI Solutions Architect to help define and implement next generation of secure Cloud platforms for AI-powered products, data-driven solutions, and enterprise digital services. This role combines expertise in Cloud architecture, Cloud security and AI infrastructure. You will work closely with engineering, security, data, compliance, and product teams to establish secure architectural standards, reusable Cloud and AI patterns, as well as modern software delivery practices that enable innovation while maintaining strong governance and compliance. As a technical leader, you will define reference architectures, mentor engineering teams, and drive modernization initiatives across Cloud infrastructure, AI workloads, and software delivery platforms. Your key responsibilities

Design secure Cloud architectures in Microsoft Azure or Amazon AWS for AI applications, analytics platforms, and enterprise digital products. Define reference architectures and security patterns for AI solutions consuming data from Databricks and other enterprise data platforms. Establish secure architecture for AI agents, sandboxed code execution, runtime isolation, network segmentation, and controlled access to enterprise services and data. Develop standards for identity management, secrets management, encryption, zero-trust access, secure connectivity, logging, monitoring, and auditing. Define and maintain Infrastructure as Code standards using Terraform, Bicep or ARM. Lead and support migration initiatives to Azure DevOps or GitHub Enterprise. Establish modern CI/CD practices, including repository governance, branching strategies, pull request workflows, automated testing, release controls, and deployment approvals. Create standards for secure software delivery, release traceability, compliance evidence, and audit readiness. Partner with engineering teams to deliver reusable templates, secure pipelines, and reference Cloud architecture. Conduct architecture and design reviews, identifying risks and recommending secure, scalable, and maintainable solutions. Collaborate with Cloud, security, AI, data, quality engineering, compliance, and product teams. Mentor engineers and contribute to the adoption of engineering best practices across cloud, security, DevOps, and AI infrastructure domains.

Skills and attributes for success

Bachelor’s Degree in IT / Computer Science / Computer Engineering / Cybersecurity / Information Systems or relevant discipline At least 3 years of practical experience and design of solutions in Microsoft Azure or Amazon AWS Cloud At least 1 year of experience in building or securing AI solutions Strong Cloud security expertise, including identity, networking, encryption, secrets management, logging, monitoring, and secure access patterns. Experience designing secure infrastructure for AI applications, AI agents, APIs, data-consuming applications, or internal developer platforms. Strong knowledge of network segregation, private endpoints, firewalls, virtual networks, controlled egress, and runtime isolation. Experience with Terraform, ARM or Bicep for infrastructure provisioning and Cloud architecture enablement. Experience with GitHub Enterprise, GitHub Actions, repository governance, branch protection, pull requests, and secure CI/CD patterns. Experience with Azure DevOps, ideally including migration from Azure DevOps to GitHub. Understanding of secure software delivery, release controls, traceability, and audit-ready engineering practices. Ability to work hands-on with engineers while also setting architecture direction and technical standards.

To qualify for the role, you must have