Senior Azure PaaS & AI Solutions Engineer - Operations

About the role

The Senior Azure PaaS & AI Solutions Engineer plays a pivotal role in shaping the future of U.S. Bank's digital transformation. This position focuses on designing, building, and supporting enterprise Platform-as-a-Service (PaaS) solutions across Azure, leveraging cloud-native services to deliver scalable, secure, and resilient business applications.

Responsibilities

• Design, build, and support enterprise Platform-as-a-Service (PaaS) solutions across Azure, leveraging cloud-native services to deliver scalable, secure, and resilient business applications
• Serve as a technical lead and subject matter expert for Azure services including Azure OpenAI, Azure App Services, Azure Functions, Azure Logic Apps, API Management, Event Grid, Service Bus, and related platform technologies
• Architect and implement enterprise AI solutions utilizing Azure OpenAI Service, Retrieval Augmented Generation (RAG), semantic search, agentic workflows, prompt orchestration, and intelligent automation capabilities
• Lead the integration of Large Language Models (LLMs) and Generative AI services into enterprise applications, business workflows, and operational platforms while ensuring security, governance, compliance, and responsible AI practices
• Build and maintain secure AI-enabled architectures that leverage Azure AI Search, Azure AI Foundry, Azure Machine Learning, Microsoft Copilot technologies, vector databases, knowledge stores, and enterprise data sources
• Partner with business stakeholders, product teams, architects, security teams, and developers to identify opportunities where AI and automation can drive measurable business value and productivity gains
• Support projects through the full software development lifecycle, including requirements gathering, solution design, development, testing, deployment, production support, and continuous improvement
• Analyze complex technical and business challenges, providing recommendations that balance functionality, security, performance, cost, and long-term maintainability
• Collaborate with cross-functional teams to troubleshoot production issues, optimize platform performance, and identify opportunities for automation and innovation
• Evaluate emerging AI, cloud, and platform capabilities to recommend new solutions and best practices that improve developer productivity and business outcomes

Requirements

• Bachelor's degree, or equivalent work experience
• Eight or more years of direct experience with project management responsibilities

Qualifications

• Strong experience with Microsoft Azure Platform-as-a-Service (PaaS) offerings including: Azure App Services, Azure Functions, Azure Logic Apps, Azure API Management, Azure Event Grid, Azure Event Hubs, Azure Service Bus, Azure Key Vault, Azure Storage Services, Azure Monitor, Azure Application Insights
• Experience working with: GPT models, Prompt Engineering, Retrieval Augmented Generation (RAG), Azure AI Search, Vector Embeddings, Multi-Agent Architectures, AI Agents, Semantic Search, Grounding and Context Management, Model Evaluation and Performance Tuning
• Experience integrating AI services with enterprise platforms, APIs, data warehouses, content repositories, and business applications
• Knowledge of Responsible AI principles, AI governance, data privacy, model security, and enterprise AI deployment best practices
• Experience building AI-enabled workflows using Azure AI Foundry, Microsoft Copilot technologies, Power Platform, or equivalent AI orchestration platforms
• Integration & Development Experience designing enterprise integrations, API strategies, event-driven architectures, and cloud-native application solutions
• Working knowledge of C#, Python, JavaScript, PowerShell, or similar programming languages
• Strong understanding of security, authentication, networking, identity management, and governance within Azure environments
• Experience with data integration, ETL platforms, analytics environments, and enterprise data platforms such as Domo
• Strong business analysis, stakeholder management, project leadership, and communication skills
• Ability to lead technical initiatives, influence architectural decisions, and drive adoption of cloud and AI technologies across the organization

Skills

• Strong experience with Microsoft Azure Platform-as-a-Service (PaaS) offerings including: Azure App Services, Azure Functions, Azure Logic Apps, Azure API Management, Azure Event Grid, Azure Event Hubs, Azure Service Bus, Azure Key Vault, Azure Storage Services, Azure Monitor, Azure Application Insights
• Experience working with: GPT models, Prompt Engineering, Retrieval Augmented Generation (RAG), Azure AI Search, Vector Embeddings, Multi-Agent Architectures, AI Agents, Semantic Search, Grounding and Context Management, Model Evaluation and Performance Tuning
• Experience integrating AI services with enterprise platforms, APIs, data warehouses, content repositories, and business applications
• Knowledge of Responsible AI principles, AI governance, data privacy, model security, and enterprise AI deployment best practices
• Experience building AI-enabled workflows using Azure AI Foundry, Microsoft Copilot technologies, Power Platform, or equivalent AI orchestration platforms
• Integration & Development Experience designing enterprise integrations, API strategies, event-driven architectures, and cloud-native application solutions
• Working knowledge of C#, Python, JavaScript, PowerShell, or similar programming languages
• Strong understanding of security, authentication, networking, identity management, and governance within Azure environments
• Experience with data integration, ETL platforms, analytics environments, and enterprise data platforms such as Domo
• Strong business analysis, stakeholder management, project leadership, and communication skills
• Ability to lead technical initiatives, influence architectural decisions, and drive adoption of cloud and AI technologies across the organization

Benefits

• Healthcare (medical, dental, vision)
• Basic term and optional term life insurance
• Short-term and long-term disability
• Pregnancy disability and parental leave
• 401(k) and employer-funded retirement plan
• Paid vacation (from two to five weeks depending on salary grade and tenure)
• Up to 11 paid holiday opportunities
• Adoption assistance
• Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law