1

Azure Ai Jobs in Wisconsin (NOW HIRING)

Der Azure AI / ML Engineer unterstutzt Fachbereiche und IT-Teams bei der Umsetzung innovativer KI-Anwendungen und begleitet diese von der Anforderungsaufnahme bis zum produktiven Betrieb und ...

WI · On-site

$100 - $130/hr

Python * .NET * Azure * Databricks (data platform) * AI stack: * Azure OpenAI * Azure AI Foundry * Azure AI Search * Microsoft Copilot Studio * Semantic Kernel * Vector Databases * RAG ...

WI · On-site

$134.40 - $176.40/hr

Lead the architecture and implementation of AI-powered Microsoft solutions, including Azure AI services, Azure OpenAI, Copilot, M365, Teams, and Dynamics 365. * Design end‑to‑end AI solutions ...

Design and deploy Azure platform capabilities for AI workloads. Security & Governance: Implement secure identity, access, data protection, and responsible AI controls. Automation & IaC :Use ...

AI Engineer

Oregon, WI · On-site

$120 - $190/hr

Integrate AI capabilities into enterprise applications, APIs, Azure cloud services, and DevSecOps pipelines. * Evaluate emerging AI technologies and rapidly develop Proofs of Concept (PoCs)

Temporary AI Engineer

Oregon, WI · On-site

$120 - $170/hr

Integrate AI capabilities into enterprise applications, APIs, Azure cloud services, and DevSecOps pipelines. * Evaluate emerging AI technologies and rapidly develop Proofs of Concept (PoCs)

WI · On-site

$150 - $230/hr

Define AI strategy using Azure OpenAI Service, Azure AI Search, Azure AI Document Intelligence, Azure AI Foundry, Microsoft Foundry and Azure Machine Learning. * Ensure compliance with banking ...

Design solutions using Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure Machine Learning, vector stores and approved enterprise APIs. * Define patterns for RAG, conversational AI, document ...

Sr. Solution Architect

Milwaukee, WI · On-site

$100K - $140K/yr

Design solutions using Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure Machine Learning, vector stores and approved enterprise APIs. * Define patterns for RAG, conversational AI, document ...

WI · On-site

$140 - $190/hr

Hands‑on with data/AI platforms (Azure ML, Databricks, Synapse, Snowflake) and vector technologies (Azure AI Search, Redis/RedisJSON, pgvector). * Strong grasp of security, networking and ...

Manager, AI Engineering

Milwaukee, WI · On-site

$150 - $230/hr

Ensure AI solutions align with enterprise architecture, Azure AI platform standards, cybersecurity requirements, responsible AI expectations, and ISC data governance requirements. * Team Leadership ...

next page

Showing results 1-20

Azure Ai information

See Wisconsin salary details

$11

$58

$80

How much do azure ai jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for azure ai in Wisconsin is $58.95, according to ZipRecruiter salary data. Most workers in this role earn between $53.37 and $66.25 per hour, depending on experience, location, and employer.

What is an Azure AI?

An Azure AI job typically involves working with Microsoft's Azure AI services to build, deploy, and manage artificial intelligence and machine learning solutions. Professionals in this role may work with tools like Azure Machine Learning, Cognitive Services, and AI-powered analytics to develop intelligent applications. Responsibilities often include data preprocessing, model training, integration with cloud services, and optimizing AI workflows for scalability and performance. This job is ideal for individuals with expertise in AI, cloud computing, and programming languages like Python or R.

What does an Azure AI do?

As an Azure AI professional, your daily responsibilities often include designing and deploying AI models on Azure, integrating machine learning pipelines, and managing large-scale data processing tasks. You'll collaborate closely with data scientists, cloud architects, and business stakeholders to interpret project requirements and implement technical solutions. Regular activities may also involve automating workflows, monitoring model performance, and troubleshooting issues within the Azure cloud environment. This collaborative and dynamic work environment provides continuous learning opportunities and exposure to the latest advancements in AI and cloud technologies.

What are the key skills and qualifications needed to thrive in the Azure AI position?

To thrive in an Azure AI role, you need expertise in cloud computing, machine learning, and data engineering, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure AI platform tools such as Azure Machine Learning, Cognitive Services, and relevant certifications like Microsoft Certified: Azure AI Engineer Associate is highly valuable. Strong problem-solving skills, collaboration, and effective communication make candidates stand out. These abilities are essential for delivering scalable AI solutions, integrating with business needs, and achieving successful project outcomes in fast-evolving cloud environments.

Is Azure AI in demand?

Azure AI is in high demand as organizations increasingly adopt cloud-based artificial intelligence solutions. Professionals with skills in Azure AI services, machine learning, and cloud computing are sought after across various industries, often requiring certifications and experience with tools like Azure Machine Learning and Cognitive Services.

What jobs can I get with Azure AI certification?

Azure AI certification can qualify you for roles such as AI Engineer, Machine Learning Engineer, Data Scientist, or Cloud Solutions Architect. These positions involve developing, deploying, and managing AI and machine learning solutions using Azure services and tools. Strong programming skills and knowledge of cloud environments are typically required.

What are the most commonly searched types of Azure Ai jobs in Wisconsin?

The most popular types of Azure Ai jobs in Wisconsin are:

What are popular job titles related to Azure Ai jobs in Wisconsin?

For Azure Ai jobs in Wisconsin, the most frequently searched job titles are:

Infographic showing various Azure Ai job openings in Wisconsin as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $122,613 per year, or $58.9 per hour.

Azure AI / ML Engineer (m/w/d)

Qualysoft

On-site, Remote

Contractor

Re-posted 5 days ago


Job description

Fur ein langfristig angelegtes IT- und KI-Programm wird ein Azure AI / ML Engineer (m/w/d) gesucht. Ziel ist die Konzeption, Entwicklung, Implementierung und der Betrieb moderner KI-Losungen mit Schwerpunkt auf Large Language Models, Conversational AI, Multi-Agenten-Systemen sowie dem produktiven Einsatz skalierbarer Microsoft-Azure-Architekturen.Der Azure AI / ML Engineer unterstutzt Fachbereiche und IT-Teams bei der Umsetzung innovativer KI-Anwendungen und begleitet diese von der Anforderungsaufnahme bis zum produktiven Betrieb und Wissenstransfer.


520 - 560 a day
Rahmenbedingungen
Start: Marz/April 2026
Laufzeit: 3 Jahre (optional verlangerbar bis max. 5 Jahre)
Auslastung: 100 %
Arbeitsmodell: Hybrid - ca. 50 % vor Ort in Wien, ca. 50 % remote
Projektsprache: Deutsch und Englisch

Aufgaben:
Konzeption, Entwicklung und Implementierung von LLM-basierten Conversational-AI-Losungen (z. B. RAG-Applikationen) in Microsoft Azure
Aufbau, Orchestrierung und Weiterentwicklung von AI-Agenten und Multi-Agenten-Systemen
Einsatz und Integration von Model Context Protocols (MCPs)
Aufnahme, Analyse und Strukturierung fachlicher Anforderungen in enger Abstimmung mit den betroffenen Fachbereichen
Agile Umsetzung der Losungen sowie kontinuierliche Weiterentwicklung im Austausch mit den Fachbereichen
Anbindung, Integration und Harmonisierung relevanter interner und externer Datenquellen
Rollout und nutzergerechte Bereitstellung der Losungen im operativen Betrieb
Ubergabe der Losungen an interne Teams inklusive Upskilling und Befahigung der Anwender
Sicherstellung von Skalierbarkeit, Sicherheit, Wartbarkeit und stabilem Betrieb der AI-Losungen

Anforderungen:
Tiefgreifendes Verstandnis und praktische Erfahrung mit Large Language Models und Conversational-AI-Losungen (z. B. RAG) in Azure
Erfahrung in der Konzeption, Entwicklung und Implementierung von AI-Agenten / Multi-Agenten-Systemen
Erfahrung im Einsatz von Model Context Protocols (MCPs)
Erfahrung im Anforderungsmanagement und in der Zusammenarbeit mit Fachbereichen
Erfahrung in der agilen Umsetzung und Weiterentwicklung technischer Losungen
Erfahrung in der Integration und Harmonisierung von Datenquellen
Erfahrung im Rollout und Betrieb produktiver Anwendungen
Erfahrung in der Ubergabe von Losungen, Dokumentation sowie Befahigung von Anwendern
Sehr gute Kenntnisse in Microsoft Azure, insbesondere:
Microsoft Foundry, Azure Cognitive Services, Azure Machine Learning
Erfahrung in der Entwicklung robuster und skalierbarer Anwendungen mit C# / .NET sowie Python
Erfahrung mit DevOps-Prinzipien und CI/CD-Pipelines
Praktische Erfahrung mit Docker und Azure Kubernetes Service (AKS)
Erfahrung mit Infrastructure as Code
Hohe Lernbereitschaft und Interesse an neuen Entwicklungen im Bereich Kunstliche Intelligenz

PLUS:
Kenntnisse in Confluence und JIRA
Erfahrung mit Azure API Management, Monitoring & Logging (Azure Monitor, Log Analytics) sowie Data Governance (Microsoft Purview)
Branchenkenntnisse in der Energieindustrie oder im offentlichen Sektor
Strukturierte und eigenverantwortliche Arbeitsweise
Hohe Kommunikationsfahigkeit gegenuber technischen und fachlichen Stakeholdern
Teamfahigkeit sowie ausgepragtes Qualitatsbewusstsein
Interessiert?
Bitte senden Sie uns Ihren aktuellen Lebenslauf inklusive Ihrer Verfugbarkeit sowie Ihrer Stundensatzvorstellung.
Wir freuen uns auf Ihre Ruckmeldung.
Sie konnen mich gerne per E-Mail unter elena.kahraman@qualysoft.com oder uber LinkedIn kontaktieren.
Vielen Dank fur Ihr Verstandnis!
+43 699 14402417

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job