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Azure Ai Engineer Remote Jobs in Wisconsin (NOW HIRING)

Der Azure AI / ML Engineer unterstutzt Fachbereiche und IT-Teams bei der Umsetzung innovativer KI ... Hybrid - ca. 50 % vor Ort in Wien, ca. 50 % remote Projektsprache: Deutsch und Englisch Aufgaben: ...

AI Engineer

Glendale, WI · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This is a hybrid/remote role that is flexible on location so long as there is flexibility to travel ... Experience with cloud platforms (Azure preferred) and containerized deployment (Docker, Kubernetes)

Senior Data Engineer

Brookfield, WI · On-site +1

$100K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Fabric, Azure Machine Learning, Azure AI Services, and Python-based data science solutions ... This remote role is only open to individuals that reside in one of the following states at the time ...

Senior Data Engineer

Brookfield, WI · Remote

$100K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Fabric, Azure Machine Learning, Azure AI Services, and Python-based data science solutions ... This remote role is only open to individuals that reside in one of the following states at the time ...

$166K - $191K/yr

  • Medical

  • Dental

  • Vision

  • PTO

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ...

$166K - $191K/yr

  • Medical

  • Dental

  • Vision

  • PTO

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ...

$166K - $191K/yr

  • Medical

  • Dental

  • Vision

  • PTO

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ...

... auf Azure Databricks von der Datenaufbereitung uber Feature Engineering bis hin zu MLOps ... Hybrid - ca. 50 % vor Ort in Wien, ca. 50 % remote Projektsprache: Deutsch und Englisch Aufgaben: ...

Application Security Engineer (REMOTE)

Adell, WI · Remote

$117K - $146K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Job Purpose The Application Security Engineer is responsible for strengthening the security of our ... Practical experience securing cloud environments (AWS or Azure) and implementing cloud-native ...

Senior AWS DevOps Engineer - Remote - USA

Madison, WI · On-site +1

$131K - $168K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience leveraging Agentic AI tools to automate DevOps workflows and improve operational ... Paid Time Off (vacation, sick leave, parental leave, and holidays). * 100% remote work. * The ...

Senior Finance AI & Automation Developer

Adell, WI · On-site +1

$95K - $119K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote * Tuesday-Thursday: Onsite at our Reading, PA location Candidates outside the Reading, PA ... Azure experience required * Strong understanding of data structure and APIs required * Experience ...

Senior Software Engineer - Generative AI

Sheboygan, WI · On-site +1

$132K - $167K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Acuity is seeking a Senior Software Engineer to design, build, and maintain production-ready ... Experience with cloud platforms including Azure, IBM, GCP, or AWS for AI services. * Ability to ...

Backend Software Engineer

Madison, WI · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Using AI and machine learning, our software analyzes billions of data points collected from sensors ... Remote and flexible schedule - we are a remote company with hybrid options and support for flexible ...

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Showing results 1-20

Azure Ai Engineer Remote information

What is an Azure AI engineer?

Azure AI Engineers are professionals who design, build, and deploy artificial intelligence solutions using Microsoft Azure's suite of AI services. They work with data scientists, developers, and stakeholders to integrate AI capabilities such as computer vision, natural language processing, and machine learning into cloud-based applications. Their responsibilities often include managing Azure AI resources, optimizing models for performance and scalability, and ensuring solutions align with business needs, all while working remotely.

How do Azure AI engineers typically collaborate with cross-functional teams in a remote setting?

As an Azure AI Engineer working remotely, you'll frequently collaborate with data scientists, software developers, and project managers through virtual meetings and cloud-based project management tools. Effective communication is crucial, as you'll need to translate complex AI solutions into actionable insights for both technical and non-technical stakeholders. You may participate in daily stand-ups, code reviews, and collaborative design sessions to ensure alignment on project goals and integration of AI models into larger cloud architectures. Remote work often requires strong self-management skills and proactive sharing of progress to maintain team cohesion.

What are the key skills and qualifications needed to thrive as an Azure AI engineer remote, and why are they important?

To thrive as an Azure AI Engineer (Remote), you need expertise in AI/ML concepts, programming languages like Python, and experience with cloud platforms, especially Microsoft Azure, often supported by a degree in computer science or a related field. Familiarity with Azure AI services (such as Azure Machine Learning, Cognitive Services), DevOps tools, and certifications like Microsoft Certified: Azure AI Engineer Associate are typically required. Strong problem-solving, communication, and collaboration skills are essential for remote teamwork and project delivery. These abilities ensure effective design, deployment, and management of AI solutions that meet business objectives in distributed environments.

What is the difference between Azure Ai Engineer Remote vs Data Scientist Remote?

AspectAzure Ai Engineer RemoteData Scientist Remote
Required CredentialsAzure certifications, AI/ML knowledgeStatistics, programming, data analysis skills
Work EnvironmentCloud platforms, AI development toolsData analysis, modeling, research environments
Employer & Industry UsageTech companies, AI-focused firmsResearch institutions, tech companies, finance
Search & Comparison IntentUnderstanding role differences, job requirementsCareer options, skill overlaps

Azure Ai Engineer Remote focuses on developing and deploying AI solutions using Azure cloud services, requiring certifications like Azure AI Engineer Associate. Data Scientist Remote emphasizes analyzing data, building models, and deriving insights, often with statistical and programming skills. While both roles involve data and AI, Azure Ai Engineers are more cloud and deployment-oriented, whereas Data Scientists focus on analysis and research.

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

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

What job categories do people searching Azure Ai Engineer Remote jobs in Wisconsin look for?

The top searched job categories for Azure Ai Engineer Remote jobs in Wisconsin are:

What cities in Wisconsin are hiring for Azure Ai Engineer Remote jobs?

Cities in Wisconsin with the most Azure Ai Engineer Remote job openings:

Infographic showing various Azure Ai Engineer Remote 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 63% Physical, 4% Hybrid, and 33% Remote job distribution.

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

Qualysoft

On-site, Remote

Contractor

Re-posted 16 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.
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