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Entry Level Azure Ai Jobs (NOW HIRING)

Aivra Health LLC

AI/ML Engineer

Dallas, TX · On-site

AWS / Azure / Google Cloud Platform * Docker * Kubernetes * MLflow * CI/CD * MLOps * PySpark ... entry level candidates are welcome , provided they have practical AI/ML projects and strong ...

Avior

Entry-Level Software Developer

Irving, TX · On-site

$42K - $52K/yr

Willingness to learn and adapt to new technologies like AI. Preferred Qualifications: * Internship ... Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). * Understanding of DevOps ...

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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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Entry Level Azure Ai jobs near you
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.

Associate AI Solutions Developer

San Antonio, TX • On-site

Bridgehead IT, LLC
See more jobs at Bridgehead IT, LLCexternal

Full-time

Re-posted 20 days ago

Job description

Description

The Associate AI Solutions Developer / Analyst supports the design, development, and implementation of AI-enabled software, automation, and business solutions. This hybrid role combines technical development, business analysis, and AI tool configuration, working closely with senior developers and analysts to translate business needs into practical, secure, and scalable solutions.

The role is designed for an early-career professional with strong technical fundamentals, analytical aptitude, and a demonstrated interest in artificial intelligence and emerging technologies. The Associate will contribute across the solution lifecycle-from requirements gathering and prototyping through testing, deployment, and refinement-while receiving structured training and mentorship. This position offers a defined growth path with increasing responsibility and project ownership, with the expectation of progression to a mid-level role within 12-24 months.


Training & Growth

We invest in your success with structured onboarding, personalized mentorship, an individual development plan, and continuous learning opportunities (courses, certifications, AI webinars). Your entering a rapidly growing space that will require a commitment to continuous learning and improvement to with a goal to advance to mid-level role in 12-24 months. 

Requirements

Key Responsibilities:

  • Contribute to developing AI-enhanced software and automation solutions, including GPT-powered features, Copilot Studio agents, custom developed AI solutions built on Azure such as Document intelligence. 
  • Perform business and data analysis: map workflows, document processes, gather requirements, and translate them into technical specifications. 
  • Configure and prototype conversational AI tools, test prompts, refine intents, grounding, and guardrails. 
  • Support systems integration with enterprise tools (CRMs, SharePoint, data warehouses, Microsoft 365) using APIs, connectors, and secure methods. 
  • Participate in quality assurance, testing, debugging, and AI-specific checks (prompt resilience, content moderation). 
  • Create technical documentation, user guides, and contribute to internal knowledge bases. 
  • Help enforce AI governance policies and verify output accuracy. 
  • Collaborate with developers, analysts, and stakeholders in meetings and (as you grow) client discussions. 

Qualifications:

  • Associate's degree in computer science, Information Systems, Engineering, or related field (relevant experience or bootcamp certification may substitute). 
  • Proficiency in at least one programming language (JavaScript, PHP, C#, Java, etc.) and familiarity with web development or SQL. 
  • Strong analytical and problem-solving skills, with comfort using spreadsheets and basic-to-intermediate SQL. 
  • Excellent written and verbal communication skills; ability to explain technical concepts clearly. 
  • Quick learner with genuine interest in AI/ML and its business applications. 
  • Collaborative team player open to feedback and code reviews. 

Preferred Qualifications:

  • Internship or academic projects in software development, data analysis, or AI. 
  • Exposure to Microsoft Azure, Power Platform (especially Copilot Studio), or AI APIs. 
  • Familiarity with data integration concepts or tools. 
  • Entry-level certifications (e.g., AZ-900, PL-900). 

Apply