Azure Cloud Engineer, AI & Automation
About the role
At Customers Bank, we're looking for an Azure Cloud Engineer to join our dynamic team. This is a hands-on engineering role where you'll design, build, and operate cloud and AI solutions on Microsoft Azure. Your responsibilities will include overseeing real workloads end-to-end, from setting up Azure landing zones to managing AI platforms and integrations.
Responsibilities
- Design and implement Azure solutions across compute, networking, identity, storage, and platform services, aligned to enterprise reference architectures and security standards.
- Build and maintain CI/CD pipelines in Azure DevOps and GitHub Actions for infrastructure-as-code and application deployments using Bicep, ARM, or Terraform.
- Administer and operate AI platforms including Azure AI Foundry, Azure OpenAI, Anthropic Claude, and OpenAI — managing model configurations, access controls, usage policies, evaluations, and production deployments.
- Administer and govern Model Context Protocol (MCP) integrations, ensuring access controls, authentication standards, data-handling boundaries, and usage policies are in place so AI platforms connect to enterprise systems securely and in compliance with bank standards.
- Implement retrieval-augmented generation (RAG) patterns using Azure AI Search, vector stores, and embeddings against enterprise content.
- Engineer landing zones, networking, and identity integration (Entra ID, Conditional Access, managed identities, Key Vault) for new and existing Azure workloads.
- Define cloud governance through Azure Policy, RBAC, tagging, cost management, and observability in Azure Monitor, Log Analytics, and Application Insights.
- Document reference patterns, pipeline templates, and runbooks; mentor teammates on cloud infrastructure, AI platform administration, and responsible AI usage.
- Administer and govern Microsoft Fabric environments — managing tenant and capacity settings, workspace permissions, data access controls, and usage monitoring across Fabric workloads including Data Factory, Lakehouse, and Real-Time Analytics, in alignment with bank security and compliance standards.
- Serve as a technical reviewer on the Change Advisory Board for cloud and AI changes and provide engineering support for major incidents and planned releases.
- Provide metrics (KPIs and KRIs) as necessary related to various business processes.
Requirements
- 5+ years in cloud or software engineering, with at least 3 years hands-on building and operating workloads in Microsoft Azure.
- Production experience with core Azure services: virtual networking, App Service, Functions, API Management, Entra ID, Key Vault, Storage, and monitoring.
- Hands-on experience administering AI platforms such as Azure AI Foundry, Azure OpenAI, Anthropic Claude, and OpenAI — including model configuration, access management, usage monitoring, and production operations.
- Working knowledge of the Model Context Protocol (MCP) or comparable AI integration patterns, and a clear understanding of how to safely connect and govern enterprise systems exposed to AI platforms.
- Strong API engineering skills: designing, securing, and consuming REST APIs, with practical experience integrating third-party and internal services.
- Experience building CI/CD pipelines in Azure DevOps or GitHub Actions and authoring infrastructure-as-code with Bicep, ARM, or Terraform.
- Strong scripting skills in PowerShell and Python.
- Solid grasp of identity, networking, and security fundamentals in Azure, including Entra ID, Conditional Access, and zero-trust principles.
- Strong written and verbal communication. Able to translate cloud and AI concepts into clear options and tradeoffs for engineers, stakeholders, and leadership.
- Bachelor’s degree in Computer Science, Information Systems, or equivalent experience.
Preferred Qualifications
- Microsoft certifications such as Azure Administrator Associate (AZ-104), Azure Solutions Architect Expert (AZ-305), or DevOps Engineer Expert (AZ-400).
- Experience administering or operating production AI assistants, copilots, or RAG systems using Azure AI Search, vector databases, and evaluation frameworks.
- Experience administering and operating MCP servers that integrate AI platforms with enterprise data and tools.
- Experience integrating Power Automate, Logic Apps, or Copilot Studio with ServiceNow, Salesforce, or core banking platforms.
- Experience with containers and orchestration (AKS, Container Apps) and event-driven architectures.
- Prior experience in financial services, banking, or another regulated industry, including familiarity with audit and change-management controls.
Benefits
We offer a competitive compensation package, including a comprehensive benefits program that includes health insurance, retirement savings plans, paid time off, and more. We also provide opportunities for professional growth and development, as well as a supportive and inclusive work environment.
Pay
The salary range for this position is $80,000 - $120,000 annually, depending on experience and qualifications.
Schedule
This is a full-time position with standard business hours.
Equal Opportunity Employer
Customers Bank is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also provide "reasonable accommodations" upon request to qualified individuals with disabilities, in accordance with the Americans with Disabilities Act and applicable state and local laws.
Diversity Statement
At Customers Bank, we believe in working smart, working together, and having fun while delivering innovative solutions and memorable experiences for our customers. We are committed to the continual advancement of a culture which reflects the value we place on diversity, equity, and inclusion. We honor the diverse experiences, perspectives, and identities of our team members, and we recognize that it is their passion, creativity, and integrity that drives our success. Step into your future with us! Let's take on tomorrow.