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Entry Level Azure Ai Engineer Jobs (NOW HIRING)

Azure Solution Architect

Montvale, NJ · On-site

$66.50 - $86.50/hr

Azure AI Services: - Solid understanding of all Azure AI Services and Handson Experience. The candidate with AI-102 certification is preferred along with Azure Solutions Architect Certification ...

Azure AI Engineer Associate), or DP-100 (Microsoft Certified: Azure Data Scientist Associate), or Databricks ML Data Scientist Certifications a plus * Experience with GitHub or Azure DevOps * Prior ...

LLM, RAG, Agentic AI, AI Chatbot, Python and Azure. We are seeking a skilled Python AI Engineer with strong expertise in developing, fine-tuning, and deploying AI models leveraging Azure OpenAI ...

New

We partner with product, engineering, finance, marketing and operations teams to turn ... Azure AI Search, or similar technologies. Agent and Workflow Orchestration: Experience with AI ...

Azure Cloud Engineer - AI/ML Services (L3)

Redmond, UT · On-site

$48.25 - $64.50/hr

Wipro is an end-to-end digital transformation partner seeking an Azure Cloud Engineer specializing in AI/ML services. The role involves developing and deploying AI features using Microsoft Azure ...

New

AI Architect

Boise, ID · Remote

$64.50 - $85/hr

We are seeking an AI Solutions Developer with deep experience across the Microsoft Power Platform and Azure AI ecosystem. This role focuses on designing, building, and deploying AI‑powered business ...

Sr. AI Developer

Washington, DC · On-site

$61.75 - $81.50/hr

We are seeking an AI Engineer with a passion for emerging AI technologies from Microsoft. This ... Utilize Azure Services: Develop cloud-based AI applications using Azure services and frameworks ...

Sr. AI Developer

Philadelphia, PA

$55 - $72.75/hr

We are seeking an AI Engineer with a passion for emerging AI technologies from Microsoft. This ... Utilize Azure Services: Develop cloud-based AI applications using Azure services and frameworks ...

Sr. AI Developer

Santa Monica, CA · On-site

$61.25 - $80.75/hr

We are seeking an AI Engineer with a passion for emerging AI technologies from Microsoft. This ... Utilize Azure Services: Develop cloud-based AI applications using Azure services and frameworks ...

Sr. AI Developer

Boston, MA

$59.25 - $78.25/hr

We are seeking an AI Engineer with a passion for emerging AI technologies from Microsoft. This ... Utilize Azure Services: Develop cloud-based AI applications using Azure services and frameworks ...

AI Engineer - Generative AI & Agentic Systems We're looking for an exceptional AI Engineer to join ... Build scalable, reliable AI applications across Azure, AWS, Databricks, or similar cloud/data ...

Sr. AI Developer

Los Angeles, CA

$58.75 - $77.50/hr

We are seeking an AI Engineer with a passion for emerging AI technologies from Microsoft. This ... Utilize Azure Services: Develop cloud-based AI applications using Azure services and frameworks ...

AI Engineer (Entry-Level) - Agents & Experimentation For more than 25 years, Asurion has led innovation in tech solutions while building a culture where employees feel valued and supported. We help ...

We are looking for a Senior AI Customer Engineer with deep Cloud & AI Data Platform. Candidates will be supporting customers in building secure, scalable, and AI-ready solutions on Microsoft Azure.

Sr. AI Developer

San Francisco, CA

$64.25 - $84.75/hr

We are seeking an AI Engineer with a passion for emerging AI technologies from Microsoft. This ... Utilize Azure Services: Develop cloud-based AI applications using Azure services and frameworks ...

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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 Jun 20, 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 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.

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 are the key skills and qualifications needed to thrive as an Entry Level Azure AI Engineer, and why are they important?

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 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.
More about Entry Level Azure Ai Engineer jobs
What cities are hiring for Entry Level Azure Ai Engineer jobs? Cities with the most Entry Level Azure Ai Engineer job openings:
What are the most commonly searched types of Azure Ai Engineer jobs? The most popular types of Azure Ai Engineer jobs are:
What states have the most Entry Level Azure Ai Engineer jobs? States with the most job openings for Entry Level Azure Ai Engineer jobs include:
Infographic showing various Entry Level Azure Ai Engineer job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 81% Full Time, and 18% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $104,863 per year, or $50.4 per hour.

$110K - $120K/yr

Full-time

Posted 5 hours ago


Job description

Gen AI Developer
Key Responsibilities
• Design and develop agentic AI solutions using LangChain, LangGraph, and A2A communication protocols
• Implement RAG (Retrieval-Augmented Generation) pipelines leveraging Azure AI Search and vector databases
• Build and orchestrate multi-agent workflows and intelligent automation systems
• Develop backend services using Java Spring Boot for integration, APIs, and enterprise workflows
• Create responsive front-end applications using React JS
• Integrate OpenAI / LLM models for reasoning, generation, and decision-making capabilities
• Manage and optimize vector storage solutions using PGVector or ChromaDB
• Ensure scalability, performance, and security of AI-driven applications
• Collaborate with cross-functional teams to translate business use cases into AI-powered solutions
Required Skills
• Strong programming skills in Python and Java (Spring Boot)
• Hands-on experience with LangChain, LangGraph, and Agentic AI frameworks
• Deep understanding of RAG architecture and enterprise search (Azure AI Search)
• Experience with OpenAI or similar LLM platforms
• Knowledge of vector databases (PGVector, ChromaDB)
• Front-end development experience with React JS
• Understanding of agent orchestration and distributed AI systems
Nice to Have
• Experience with multi-agent systems and orchestration frameworks
• Exposure to enterprise AI architecture and cloud platforms (Azure preferred)
• Knowledge of AI governance, evaluation, and monitoring frameworks
Salary Range- $110,000-$120,000 a year
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