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# Senior Azure PaaS & AI Solutions Engineer - Operations

- **Company:** U.S. Bank
- **Location:** Saint Paul, MN, United States
- **Experience:** Expert
- **Salary:** $92,820.0 - $109,200.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Application Performance Management, Computing Platforms, Application Services, User Authentication, Microsoft Azure, Business Software, C Sharp (Programming Language), Software as a Service, Cloud Computing, Cloud Engineering, Cloud Foundry, Databases, Data Integration, Extract Transform Load (ETL), Data Systems, Data Warehousing, DevOps, Document Management Systems, Identity and Access Management, Python (Programming Language), Key Management, Automation of Marketing, Platform as a Service (PAAS), Performance Tuning, Windows PowerShell, Software Architecture, Azure Machine Learning, Search Technologies, Software Deployment, Software Engineering, Data Streaming, Systems Integration, Enterprise Data Management, Azure Service Bus, Enterprise Software Applications, Microsoft Power Automate, Power Platform Integration, Large Language Models, Multi-Agent Systems, Prompt Engineering, Model Validation, Generative AI, Event Driven Architecture, AI Platforms, Bicep, Integration Frameworks, Azure Service Fabric, Domo, Terraform, GPT, Software Version Control, Api Management, Serverless Computing, Legacy Systems, Programming Languages
- **Published:** July 10, 2026
- **Apply:** https://www.careerjet.com/job/us5b7e9531c3303a0f4b6fdb01b82f5592/eaa

## About the Role

Bachelor's degree, or equivalent work experience
Eight or more years of direct experience with project management responsibilities
Preferred Skills/Experience
Azure Platform & Cloud Architecture
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
Artificial Intelligence & Azure OpenAI
Strong experience designing and implementing solutions with Azure OpenAI Service
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
Experience with CI/CD pipelines, Infrastructure as Code (Terraform, Bicep, ARM), source control, and DevOps practices
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

## Description

Shape your future - and ours
We're looking for a Senior Azure PaaS & AI Solutions Engineer to join our Azure & Power Platform Solutions team-a group focused on building smart, scalable automation and workflow solutions that help the business move faster and work smarter.
In this role, you'll serve as a technical expert and trusted partner to the business, supporting the design, development, and ongoing enhancement of workflow automation, data solutions, and system integrations. The work spans both product-based initiatives and project-based delivery, offering a mix of structure and creative problem-solving in a fast-moving environment.
If you enjoy turning complex problems into practical solutions-and thrive when every day looks a little different-this role offers high visibility, meaningful impact, and continuous learning.
This position is not eligible for visa sponsorship. Must be U.S. Citizen not on any type of Visa.
What You'll Do
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
Design and develop AI connectivity patterns between Azure OpenAI, enterprise data platforms, APIs, databases, file repositories, document management systems, and third-party SaaS applications
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
Architect and implement enterprise integrations, APIs, event-driven solutions, workflow orchestration, and automation platforms that support critical business processes
Lead cloud modernization initiatives, including migrations from legacy systems to Azure PaaS and AI-enabled cloud-native architectures
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
What Success Looks Like
Delivering scalable, secure, and reliable Azure PaaS and AI solutions that create measurable business value
Successfully integrating Azure OpenAI and AI-powered services into enterprise workflows and customer-facing applications
Designing reusable AI and integration frameworks that accelerate development across multiple teams and business functions
Demonstrating strong ownership of platform health, operational excellence, and service reliability
Communicating complex cloud, architecture, and AI concepts effectively to technical and non-technical audiences
Driving modernization efforts through cloud-native architectures, automation, and emerging AI technologies
Identifying opportunities to improve productivity, reduce costs, and enhance customer experiences through intelligent automation and Generative AI
Why Join This Team
Lead the adoption of Azure OpenAI and next-generation AI technologies across a growing enterprise platform ecosystem
Work with cutting-edge Azure services, cloud-native architectures, intelligent automation, and Generative AI solutions
Play a key role in defining enterprise AI strategy, governance, architecture standards, and platform roadmaps
Join a collaborative team that values innovation, continuous learning, and technical excellence
Influence how AI, automation, and cloud technologies transform business operations and customer experiences
Balance meaningful project work with opportunities to experiment, innovate, and drive transformational change
Location:
Hybrid 3+ days in office at St. Paul, MN (West Side Flats)
Monday - Friday 8am-5pm CST, Job Summary The Pavement Engineer 3 is a senior-level professional responsible for leading pavement engineering projects, offering technical expertise, and managing client relati…

 + 6 days ago, Senior Cloud Operations Engineer (Eagan, MN) Deliver, support, and maintain our production services in a technical operations environment. About the Role In this opportunity …
 + 9 days ago
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