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Entry Level Azure Ai Engineer Jobs (NOW HIRING)

NY · On-site

$48.75 - $66.75/hr

... Machine Learning, Azure AI Foundry lub Kubernetes (AKS). * Automatyzacja procesów CI/CD/CT ... Minimum 3 lata doświadczenia w obszarze DevOps, MLOps lub Inżynierii Oprogramowania, w tym ...

$88K - $118K/yr

Tool- und API-Engineering zur Anbindung von Unternehmenssystemen, Datenquellen und Services ... Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure Functions, Azure API Management, Azure ...

Build and optimize cloud‑native applications on Azure. * Work with large‑scale data in Databricks. * Partner with AI engineers/developers and business analysts to turn ideas and experiments into ...

Cloud Engineer - Azure

Fort Myers, FL · On-site +1

$78K - $101K/yr

Collaborating with IT, AI, and data science teams, youll play a pivotal role in building and ... AWS Certified Machine Learning Engineer * Microsoft Azure Security Certification Preferred ...

Working across Microsoft Azure (including Azure Databricks and Azure AI Foundry), Snowflake, and Anthropic's Claude and Claude Agent SDK, the AI Developer will prototype, build, and productionize ...

Working across Microsoft Azure (including Azure Databricks and Azure AI Foundry), Snowflake, and Anthropic's Claude and Claude Agent SDK, the AI Developer will prototype, build, and productionize ...

AI Engineer Job Group:Professional & Scientific Required Minimum Qualifications:High school diploma ... Develop andmaintainAI-powered applications using Azure AI services, Azure OpenAI ...

Working across Microsoft Azure (including Azure Databricks and Azure AI Foundry), Snowflake, and Anthropic's Claude and Claude Agent SDK, the AI Developer will prototype, build, and productionize ...

Working across Microsoft Azure (including Azure Databricks and Azure AI Foundry), Snowflake, and Anthropic's Claude and Claude Agent SDK, the AI Developer will prototype, build, and productionize ...

Cloud Engineer - Azure

Fort Myers, FL · On-site +1

$78K - $101K/yr

Collaborating with IT, AI, and data science teams, you'll play a pivotal role in building and ... AWS Certified Machine Learning Engineer * Microsoft Azure Security Certification Preferred ...

AI Engineer

Manakin Sabot, VA · On-site

$152K/yr

Microsoft Certified Azure AI Engineer Associate * TensorFlow Developer Certificate * AWS Certified Machine Learning - Specialty Behavioral Competencies: * Ability to analyze complex technical issues ...

Working across Microsoft Azure (including Azure Databricks and Azure AI Foundry), Snowflake, and Anthropic's Claude and Claude Agent SDK, the AI Developer will prototype, build, and productionize ...

Certification Microsoft Azure certifications (e.g., Azure Fundamentals, Azure AI Fundamentals) or AWS certifications (e.g., Certified Cloud Practitioner, Developer - Associate) or Epic Systems ...

Certification Microsoft Azure certifications (e.g., Azure Fundamentals, Azure AI Fundamentals) or AWS certifications (e.g., Certified Cloud Practitioner, Developer - Associate) or Epic Systems ...

Certification Microsoft Azure certifications (e.g., Azure Fundamentals, Azure AI Fundamentals) or AWS certifications (e.g., Certified Cloud Practitioner, Developer - Associate) or Epic Systems ...

NY · On-site

The Python / AI Engineer will design,develop, and deploy scalable Python-based solutions with a ... Experience with Azure AI/ML services orAzure OpenAI * Knowledge of containerization (Docker)and ...

Certification Microsoft Azure certifications (e.g., Azure Fundamentals, Azure AI Fundamentals) or AWS certifications (e.g., Certified Cloud Practitioner, Developer - Associate) or Epic Systems ...

The AI Engineer I is responsible for supporting the design, development, testing, and ... Support cloud-based deployments in Azure environments with guidance on Docker, private endpoints ...

Showing results 41-60

Entry Level Azure Ai Engineer information

See salary details

$24K

$104.9K

$189K

How much do entry level azure ai engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for entry level azure ai engineer in the United States is $104,863.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $120,000.00 per year, depending on experience, location, and employer.

What does an entry level Azure AI engineer do?

An Entry Level Azure AI Engineer is responsible for developing, deploying, and maintaining artificial intelligence solutions using Microsoft Azure's AI services and tools. They typically work on tasks such as building machine learning models, integrating AI APIs, and supporting cloud-based AI applications under the guidance of more experienced engineers. Their role often includes data preparation, testing AI solutions, and ensuring that AI models run efficiently and securely on Azure infrastructure. This position is ideal for those with foundational knowledge in AI, programming, and cloud computing who are looking to grow their skills in a real-world environment. Entry level engineers often collaborate with data scientists, developers, and project managers to deliver AI-driven solutions for various business needs.

What are the key skills and qualifications needed to thrive as an entry level Azure AI engineer?

To thrive as an Entry Level Azure AI Engineer, you need foundational experience in programming (such as Python or C#), understanding of machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with Microsoft Azure services (like Azure Machine Learning, Cognitive Services), and certifications such as Microsoft Certified: Azure AI Engineer Associate are highly valued. Problem-solving skills, attention to detail, and effective communication help you collaborate with teams and explain AI solutions to stakeholders. These abilities ensure you can build, deploy, and maintain AI solutions efficiently in cloud-based environments, meeting business needs.

What are some common challenges faced by entry level Azure AI engineers when transitioning from academic projects to real-world applications?

Entry Level Azure AI Engineers often find that real-world projects involve integrating AI models with existing business systems and handling larger, messier datasets than those used in academic settings. Challenges may include learning to work with Azure-specific tools, collaborating with cross-functional teams, and meeting production-level reliability and scalability requirements. New hires also need to quickly adapt to agile development cycles and ongoing feedback, which can differ significantly from the more controlled pace of academic projects.

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

AspectEntry Level Azure Ai EngineerData Scientist
Required CredentialsAzure certifications, basic programming skillsStatistics, programming, often a master's degree
Work EnvironmentCloud platforms, AI development teamsData analysis, research, modeling
Industry UsageTech, cloud services, AI projectsFinance, healthcare, tech, research

While both roles involve working with data and AI, an Entry Level Azure Ai Engineer focuses on deploying AI solutions on Azure cloud platforms, requiring cloud certifications and programming skills. A Data Scientist primarily analyzes data, builds models, and may not require cloud-specific certifications. The roles overlap in data handling but differ in technical focus and work environment.

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Infographic showing various Entry Level Azure Ai Engineer job openings in the United States as of September 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 94% In-person, and 6% Hybrid job distribution, with an average salary of $104,863 per year, or $50.4 per hour.

MLOps Engineer

NY • On-site

$48.75 - $66.75/hr

Other

Posted 9 days ago


Job description

Zakres obowiązków:
  • Tworzenie i utrzymanie platformy AI w branży ubezpieczeniowej:
  • Projektowanie i budowa infrastruktury MLOps/LLMOps: Tworzenie skalowalnego Å›rodowiska do trenowania i serwowania modeli przy użyciu Azure Machine Learning, Azure AI Foundry lub Kubernetes (AKS).
  • Automatyzacja procesów CI/CD/CT: Implementacja potoków (pipelines) CI/CD dla rozwiÄ…zaÅ„ ML, obejmujÄ…cych automatyczne testowanie, wersjonowanie danych i modeli (DVC, MLflow) oraz Continuous Training (CT).
  • Konteneryzacja i orkiestracja: Przygotowywanie obrazów Docker dla modeli AI/GenAI oraz zarzÄ…dzanie ich wdrożeniami na klastrach Kubernetes w architekturze hybrydowej (integracja z systemami on‑premise).
  • Monitoring i Observability: Wdrożenie zaawansowanego monitoringu modeli (wykrywanie Data Drift/Model Drift), logowania i alertowania.
  • Wsparcie techniczne dla AI Act: Implementacja narzÄ™dzi do audytowalnoÅ›ci modeli, lineage (Å›ledzenie pochodzenia danych) oraz bezpieczeÅ„stwa (zarzÄ…dzanie dostÄ™pem, szyfrowanie) zgodnie z wymogami regulacyjnymi.
  • Optymalizacja kosztów i wydajnoÅ›ci: ZarzÄ…dzanie zasobami chmurowymi Azure, optymalizacja czasu inferencji modeli oraz skalowanie infrastruktury w zależnoÅ›ci od obciążenia.

Lokalizacja: Warszawa/Wola; praca hybrydowa – 1x w tygodniu w biurze

Kogo poszukujemy? Wymagania:
  • Minimum 3 lata doÅ›wiadczenia w obszarze DevOps, MLOps lub Inżynierii Oprogramowania, w tym praktyka w pracy z modelami ML na produkcji.
  • Zaawansowana znajomość Docker i Kubernetes (zarzÄ…dzanie klastrami, Helm charts, Ingress).
  • Głęboka znajomość Azure (w szczególnoÅ›ci Azure ML, AKS, Azure Container Registry) lub GCP/AWS z gotowoÅ›ciÄ… do szybkiego wejÅ›cia w Azure.
  • DoÅ›wiadczenie w budowaniu pipeline'ów (Azure DevOps, GitHub Actions, Jenkins) uwzglÄ™dniajÄ…cych specyfikÄ™ ML (np. trenowanie modelu jako krok w pipeline).
  • Dobra znajomość Python (niezbÄ™dna do pracy z SDK narzÄ™dzi ML) oraz Bash/Shell.
  • Praktyczna obsÅ‚uga MLflow, Kubeflow lub rozwiÄ…zaÅ„ natywnych chmury do zarzÄ…dzania cyklem życia modelu.
  • Znajomość Terraform, Bicep lub Ansible.
  • PodejÅ›cie "Automation First" – dążenie do eliminacji pracy manualnej poprzez skrypty i narzÄ™dzia.
Nice to have:
  • Certyfikaty Azure: DevOps Engineer Expert (AZ-400) lub Azure AI Engineer (AI-102).
  • DoÅ›wiadczenie we wdrażaniu modeli LLM i architektur RAG.
  • Znajomość narzÄ™dzi do monitoringu (Prometheus, Grafana, Azure Monitor).
  • Rozumienie zagadnieÅ„ sieciowych w chmurze hybrydowej (VPN, VNet, Private Endpoints).
  • Znajomość baz wektorowych (np. w kontekÅ›cie Azure AI Search).
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