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Entry Level Azure Ai Jobs (NOW HIRING)

... Azure Database Services, Azure AI services, and Azure Search). * Soft Skills: * Ability to ... Competitive Entry-Level Salary: Reflecting your skills and potential. * Flexible Work: Work options ...

... Azure Database Services, Azure AI services, and Azure Search). * Soft Skills: * Ability to ... Competitive Entry-Level Salary: Reflecting your skills and potential. * Flexible Work: Work options ...

Description This role is an entry level position aimed at a blend of AI-focused project work ... Develop and update knowledgebase for main Microsoft delivery platforms - Copilot Studio, Azure AI ...

The Role Your role The Associate AI Engineer is an entry-level technical role supporting the design ... Exposure to Microsoft Azure, Azure AI Services, Azure OpenAI, AWS, Google Cloud, or similar ...

Use AI-assisted development tools to accelerate development, refactoring, test creation, and ... Azure Fundamentals or entry-level Azure certification. * Familiarity with Cursor, Claude Code, etc.

Use AI-assisted development tools to accelerate development, refactoring, test creation, and ... Azure Fundamentals or entry-level Azure certification. * Familiarity with Cursor, Claude Code, etc.

Use AI-assisted development tools to accelerate development, refactoring, test creation, and ... Azure Fundamentals or entry-level Azure certification. * Familiarity with Cursor, Claude Code, etc.

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Entry Level Azure Ai information

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How much do entry level azure ai jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for entry level azure ai in the United States is $58.40, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $65.62 per hour, depending on experience, location, and employer.

What is an entry level Azure AI professional?

An Entry Level Azure AI professional is someone who is just starting their career working with Microsoft's Azure Artificial Intelligence services. They typically help design, build, test, and deploy AI solutions using Azure’s tools and platforms, such as Azure Machine Learning and Cognitive Services. Their responsibilities may include data preparation, model training, basic coding, and collaborating with more experienced engineers or data scientists. Entry level roles often require some foundational knowledge of AI concepts and programming, but are designed for those new to the field or transitioning from related IT backgrounds.

What types of projects and tasks can an entry level Azure AI professional expect to work on?

As an Entry Level Azure AI professional, you can expect to work on a range of projects such as building and deploying machine learning models, assisting in data preparation and cleaning, and supporting the integration of AI services into applications. You'll often collaborate with data scientists, developers, and project managers to implement solutions using Azure's AI tools like Cognitive Services, Azure Machine Learning, and Bot Services. This role typically involves hands-on work with data pipelines, monitoring model performance, and troubleshooting deployment issues, providing valuable learning opportunities in both AI development and cloud computing environments.

What are the key skills and qualifications needed to thrive as an entry level Azure AI professional, and why are they important?

To thrive as an Entry Level Azure AI professional, you need a foundational understanding of machine learning concepts, programming skills (such as Python), and knowledge of cloud computing, often supported by a relevant degree or coursework. Familiarity with Microsoft Azure services (like Azure Machine Learning, Cognitive Services) and basic certifications such as Microsoft Certified: Azure AI Fundamentals are typically expected. Strong problem-solving abilities, teamwork, and effective communication help you collaborate and adapt in dynamic project environments. These skills and qualities are crucial for successfully building, deploying, and maintaining AI solutions in cloud-based settings.

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

AspectEntry Level Azure AiData Analyst
Required CredentialsAzure certifications, basic programming skillsData analysis certifications, SQL, Excel skills
Work EnvironmentCloud platforms, AI development teamsData reporting, business intelligence teams
Employer & Industry UsageTech companies, cloud service providersFinance, marketing, healthcare sectors

Entry Level Azure Ai focuses on developing AI solutions using Microsoft Azure, requiring cloud and AI certifications. Data Analysts interpret data to inform business decisions, often using SQL and Excel. While both roles involve data handling, Azure Ai emphasizes AI model development in cloud environments, whereas Data Analysts focus on data interpretation and reporting.

Is Entry Level Azure AI in demand?

Entry Level Azure AI roles are in increasing demand as businesses adopt cloud computing and artificial intelligence solutions. Skills in Azure services, machine learning, and data analysis are highly valued, making these positions accessible for recent graduates or those with foundational technical knowledge.

What is the most entry-level Azure AI job?

The most entry-level Azure AI job is typically an Azure AI Intern or Junior AI Developer role, which involves assisting with AI model development, data preparation, and using Azure Cognitive Services. These positions often require basic knowledge of cloud platforms, programming skills, and familiarity with AI tools like Azure Machine Learning and Bot Services.

What jobs can I get with Entry Level Azure AI certification?

Entry Level Azure AI certification can qualify you for roles such as AI Developer, Data Analyst, or Cloud Support Associate, where knowledge of Azure services, machine learning, and AI tools is essential. These positions typically involve assisting with AI model deployment, data processing, and cloud-based solutions in a team environment.
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Infographic showing various Entry Level Azure Ai job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $121,476 per year, or $58.4 per hour.

GenAI Engineer (Python)

Palo Alto, CA • On-site

Evolver
IT Services • 501 - 1,000 employees

Full-time

Re-posted 25 days ago


Job description

About Us:We're an innovative tech startup on a mission to change the game in professional services through Generative AI. By blending deep industry expertise with powerful AI-driven automation, we're building tools that make complex tasks easier, faster, and more accurate. As a new team member, you'll have the chance to learn, grow, and make a meaningful impact on our projects and products.Role Overview:We're looking for a motivated Software Developer who's ready to jump into the world of Generative AI! This is an amazing opportunity for a recent graduate with a passion for Python and a strong interest in AI development. You'll work alongside a supportive team to develop, test, and refine products that use cutting-edge AI technology to automate complex tasks in the professional services industry.Key Responsibilities:
  • Hands-on Development: Work with our team to develop and test AI-powered software solutions.
  • Collaborate: Partner with product managers, senior developers, and industry experts to understand project goals and deliver effective solutions.
  • Problem-Solving: Support the team in troubleshooting challenges, brainstorming solutions, and refining features to improve performance.
  • Learn and Grow: Gain experience with AI tools, frameworks, and cloud platforms under the guidance of senior team members.
  • Stay Updated: Keep learning about AI, machine learning, and software development to grow your skills.

Qualifications:
  • Education:
    • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Technical Skills:
    • Proficiency in Python and libraries such as PyTorch, Pandas, NumPy, or similar.
    • Familiarity with fundamental concepts in data structures and algorithms.
    • Preferred:
      • Experience with LLMs from OpenAI, Anthropic, Google, or Meta and their application in chatbots, RAG systems, and agents
      • Experience with Cloud development, preferably Azure (e.g., Azure App Service, Azure Functions, Azure Database Services, Azure AI services, and Azure Search).
  • Soft Skills:
    • Ability to communicate and work well in a team.
    • Attention to detail and a proactive approach to problem-solving.
    • Enthusiasm for technology and a passion for innovation.
    • Willingness to learn and adapt quickly.

What We Offer:
  • Competitive Entry-Level Salary: Reflecting your skills and potential.
  • Flexible Work: Work options to support your lifestyle.
  • Growth Opportunities: Hands-on experience and professional development.
  • Cutting-Edge Environment: Work at the forefront of AI and technology.