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Ernst & Young

Global professional services: consulting, assurance, tax

Cloud Security & AI Solutions Architect

Security Engineering & ArchitectureUpdated on Nov 14
Full-timeKatowice, PolandNo salary listed

About the Job

Requirements

  • A Bachelor's degree in Information Technology, Computer Science, Computer Engineering, Cybersecurity, Information Systems, or a relevant discipline.
  • At least 3 years of practical experience designing solutions in Microsoft Azure or Amazon AWS Cloud.
  • At least 1 year of experience 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 setting architecture direction and technical standards.
  • Experience with Azure AI services, Azure OpenAI, Azure AI Foundry, agent frameworks, or secure GenAI application patterns.
  • Experience with Databricks as a data source for downstream applications.
  • Experience with containers, Kubernetes, Azure Container Apps, Azure Functions, or similar runtime platforms.
  • Experience with Azure DevOps, GitHub Advanced Security, code scanning, secret scanning, dependency scanning, or policy-as-code.

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.

Desired Qualifications

  • Experience with sandboxed code execution, Python runtime environments, containerized workloads, or isolated compute patterns.
  • Experience with Entra ID, managed identities, service principals, and role-based access control.
  • Experience with Snowflake.
  • Relevant certifications such as Microsoft Certified: Azure Solutions Architect Expert, Microsoft Certified: Azure Security Engineer Associate, Microsoft Certified: DevOps Engineer Expert, AWS Certified Solutions Architect - Associate, GitHub Actions or GitHub Advanced Security certification, or HashiCorp Terraform certification.

About the Company

Ernst & Young

Global professional services: consulting, assurance, tax

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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