Azure Cloud & AI Automation Engineer

At Customers Bank, we believe in working hard, working smart, working together to deliver memorable customer experiences and having fun. Our vision, mission, and values guide us along our path to achieve excellence. Passion, attitude, creativity, integrity, alignment, and execution are cornerstones of our behaviors. They define who we are as an organization and as individuals. Everyone is encouraged to have personal development plans.

By doing so, our team members are on their way to achieve their highest potential and be successful in their personal and professional lives.

Must be legally eligible to work in the United States without sponsorship, now or in the future, to be considered.

Founded in 2009, Customers Bank is a super-community bank with over $25 billion in assets. We believe in dedicated personal service for the businesses, professionals, individuals, and families we work with.
** We get you further, faster.
**** Focused on you:
** We provide every customer with a single point of contact. A resolute team member who is committed to meeting your needs today and tomorrow.
** On the leading edge:
** We are innovating with the latest tools and technology so we can react to market conditions quicker and help you get ahead.
** Proven reliability:
** We always ground our innovation in our deep experience and strong financial foundation, so we are a partner you can trust.
** What you'll do
** We're hiring an Azure Cloud Engineer to administer, operate, and govern cloud and AI solutions on Microsoft Azure. This is a hands-on engineering role for someone who can move fluidly between cloud architecture, infrastructure-as-code, CI/CD pipelines, and modern AI platform administration using Azure AI Foundry, Azure OpenAI, Anthropic's Claude, and the Model Context Protocol (MCP).You'll oversee real workloads end-to-end: standing up Azure landing zones, automating deployments through pipelines, and administering, configuring, and operating AI platforms, models, and integrations that move the business forward.

You'll be a key contributor to how Customers Bank evolves into a more automated, AI-augmented, cloud-first organization.
** Key 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 Dev Ops and Git Hub 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.
* Manage and maintain APIs and event-driven services (App Service, Functions, API Management, Service Bus, Event Grid) that connect AI platforms and automations to business capabilities and install, configure and manage API security gateway
* Implement retrieval-augmented generation (RAG) patterns using Azure AI Search, vector stores, and embeddings against enterprise content.
* Administer and maintain automations built on Power Automate, Logic Apps, and Copilot Studio that streamline operational tasks and integrate Microsoft 365, Teams, SharePoint, and Service Now.
* Engineer landing zones, networking, and identity integration (Entra , Conditional Access, managed identities, Key Vault) for new and existing Azure workloads.
* Implement AI governance and responsible-use guardrails: content filters, model and prompt evaluation, logging, cost controls, data-handling boundaries, and human-in-the-loop review.
* 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…