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Entry Level Azure Ai Jobs (NOW HIRING)

Evolver

GenAI Engineer (Python)

Palo Alto, CA · On-site

... 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 ...

Evolver

GenAI Engineer (Python)

Palo Alto, CA · On-site

... 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 ...

Evolver

GenAI Engineer (Python)

Palo Alto, CA · On-site

... 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 ...

XPERTECHS

Automation Associate

Columbia, MD

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 ...

CCS Global Tech

Entry Level Data/AI Engineer

San Diego, CA · On-site

$121K - $146K/yr

Entry-Level Data & AI Consultant CCS Global Tech is a Microsoft Solutions Partner and technology ... Azure, AWS, Snowflake, Databricks, Data Warehousing, Data Modeling, Applied AI/ML, Azure OpenAI ...

OneStream

Software Engineer I

$50 - $75/hr

Use AI-assisted development tools to accelerate development, refactoring, test creation, and ... Azure Fundamentals or entry-level Azure certification. Knowledge, Skills, and Abilities * Solid ...

BRM.ai

Entry Level Software Engineer

San Francisco, CA · On-site

... AI-driven solutions. You'll work alongside experienced engineers to revolutionize the inbox ... Exposure to cloud platforms (GCP, AWS, or Azure) * Basic understanding of containerization (Docker)

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

As of Jul 7, 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 the most entry-level AI job?

An entry-level AI job typically involves roles such as AI intern, junior data analyst, or AI support technician, focusing on basic tasks like data preprocessing, model testing, and assisting with AI projects. These positions often require foundational knowledge of programming languages like Python and familiarity with AI tools and frameworks such as Azure AI or TensorFlow.

What jobs can I get with Azure AI certification?

With an Azure AI certification, you can pursue roles such as AI Engineer, Machine Learning Engineer, Data Scientist, or AI Developer. These positions typically involve designing, developing, and deploying AI and machine learning solutions using Azure services and tools like Azure Machine Learning and Cognitive Services.

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 a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer, machine learning director, or AI research lead, often in large tech companies or specialized firms. These roles usually require advanced skills in machine learning, deep learning, and cloud platforms like Azure, along with significant experience and sometimes executive responsibilities.

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 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.

Can I get an AI job with no experience?

Entry-level AI roles, including those focused on Azure AI, often do not require prior professional experience but typically expect foundational knowledge of programming, machine learning concepts, and cloud platforms. Gaining relevant skills through online courses, certifications, and hands-on projects can improve your chances of securing such positions. Employers may also value demonstrated problem-solving abilities and a willingness to learn.

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.

More about Entry Level Azure Ai jobs
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What states have the most Entry Level Azure Ai jobs? States with the most job openings for Entry Level Azure Ai jobs include:
What job categories do people searching Entry Level Azure Ai jobs look for? The top searched job categories for Entry Level Azure Ai jobs are:
Entry Level Azure Ai jobs near you
Microsoft Azure AI Fundamentals Subject Matter Expert SME

Microsoft Azure AI Fundamentals Subject Matter Expert SME

Moore Solutions Inc

Port Saint Lucie, FL • Remote

$1.0K/mo

Part-time

Posted 11 days ago

Be an early applicant

Job description

Benefits:
  • Competitive salary
  • Flexible schedule
  • Opportunity for advancement

We are seeking a Microsoft Azure AI Fundamentals (AI901) Subject Matter Expert (SME) to partner with our Curriculum Development Team to review and refine a certificationaligned course. This role focuses on evaluating course materials across multiple development stages and providing actionable feedback to ensure accuracy, alignment, and instructional quality.
You will apply your expertise in Azure AI concepts and foundational implementation skills to assess course structure, content, and simulated activities aligned to the AI901 certification objectives, helping ensure learners are well prepared for both the exam and realworld application.
This is a remote, projectbased contract role with the potential for ongoing work.
What you will doThis project is structured into three key milestones:
Milestone 1: Course outline review
  • Review the full course outline mapped to AI901 objective domains
  • Evaluate overall structure, sequencing, and topic coverage
  • Identify gaps, redundancies, or misalignment with certification objectives
  • Recommend improvements to ensure logical progression and appropriate scaffolding for entrylevel learners
Milestone 2: Course manuscript review (approximately 5 chapters)
  • Review detailed lesson content for accuracy, clarity, and alignment to AI901 skills measured
  • Ensure concepts are explained appropriately for a foundational audience
  • Identify technical inaccuracies, missing concepts, or unclear explanations
  • Provide specific, actionable recommendations for revisions and enhancements
  • Validate that content supports certification readiness and realworld understanding of AI concepts
Milestone 3: Simulated activity review and feedback
  • Review developed simulated learning activities, including the associated step by step instructions provided to learners, aligned to AI901 certification objective domains
Evaluate whether each activity and its instructions:
  • Accurately reflect the intended learning objective
  • Align with AI901 certification skills and the expected entry level learner profile
  • Provide clear, logically structured steps that guide learners without introducing confusion or unnecessary complexity
  • Represent realistic and relevant AI use cases and scenarios
Provide clear, actionable guidance on:
  • Whether each activity and its instructions should be revised, enhanced, or repositioned within the course
  • How to improve instructions, prompts, and expected outcomes for clarity, accuracy, and effectiveness
  • Where each simulation should be placed within the course to support logical learning progression and reinforcement of key concepts
Required qualificationsAzure AI Fundamentals expertise
  • Strong understanding of Microsoft Azure AI Fundamentals (AI901) concepts and exam objectives
  • Familiarity with responsible AI principles, AI workloads, and foundational implementation concepts
Practical AI or cloud experience
  • Handson or applied experience working with AI solutions, Azure services, or cloudbased AI tools
  • Ability to translate conceptual knowledge into realistic scenarios
Curriculum review experience
  • Experience reviewing, teaching, or developing educational content (K12, higher education, or professional learning)
  • Strong ability to evaluate instructional quality and alignment to learning objectives
  • Experience providing structured, actionable feedback for content improvement
Communication and analytical skills
  • Excellent written communication skills for clear and constructive feedback
  • High attention to detail when reviewing technical and instructional materials
  • Ability to identify gaps, inconsistencies, and opportunities for improvement
Position details
  • Type: Contract, remote
  • Compensation: $1,000 USD total, paid in three milestone payments, with potential for additional work on future AI and Azure courses.
  • Start date: 07/08, approximately
If you are passionate about AI education, have expertise in Azure AI Fundamentals, and enjoy improving learning experiences through thoughtful review and feedback, we encourage you to apply.

This is a remote position.