2

Entry Level Azure Ai Jobs (NOW HIRING)

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 ...

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 ...

The AI Developer is a technical, entry-level role within the Atlas Technology team that builds and ... Connect AI solutions with Atlas internal systems, Microsoft Graph, Azure services, third-party APIs ...

The AI Developer is a technical, entry-level role within the Atlas Technology team that builds and ... Connect AI solutions with Atlas internal systems, Microsoft Graph, Azure services, third-party APIs ...

Microsoft environment with Azure DevOps; tech stack specifics are flexible if candidates can learn ... Open to entry level candidates as well, provided they have a strong attitude and solid technical ...

Microsoft environment with Azure DevOps; tech stack specifics are flexible if candidates can learn ... Open to entry level candidates as well, provided they have a strong attitude and solid technical ...

AI Solutions Architect

Bryan, TX · On-site

$85K - $105K/yr

Entry-Level AI Solutions Architect Kent Moore Cabinets | Bryan, Texas | Full-Time Reports to: VP of ... Work within our Azure/M365 environment to connect AI capabilities to systems our teams already use

... 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)

next page

Showing results 1-20

Entry Level Azure Ai information

See salary details

$11

$58

$79

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

As of Jun 16, 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 often refers to roles such as AI intern, junior data analyst, or AI support technician, which typically require basic knowledge of programming, data analysis, and AI tools like Python or Azure AI services. These positions usually focus on assisting with data preparation, model testing, or supporting AI projects under supervision.

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.

Is Azure AI in demand?

Azure AI is in high demand as organizations increasingly adopt cloud-based artificial intelligence solutions. Entry-level Azure AI roles often require knowledge of cloud platforms, machine learning, and related tools like Azure Machine Learning Studio, making skills in this area valuable for job seekers.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior data scientists, AI architects, or machine learning executives, often requiring advanced skills, extensive experience, and sometimes leadership responsibilities. These positions may involve overseeing AI projects, developing complex models, and utilizing tools like Azure AI, with compensation reflecting expertise and strategic impact.

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 involving Azure AI, often do not require extensive experience and may accept candidates with foundational knowledge of programming, machine learning concepts, and cloud platforms. Gaining certifications or completing relevant projects can improve chances, but some positions may still prefer or require prior related experience. Building skills through online courses and hands-on practice is recommended for beginners.

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
What cities are hiring for Entry Level Azure Ai jobs? Cities with the most Entry Level Azure Ai job openings:
What are the most commonly searched types of Azure Ai jobs? The most popular types of Azure Ai jobs are:
What states have the most Entry Level Azure Ai jobs? States with the most job openings for Entry Level Azure Ai jobs include:
Infographic showing various Entry Level Azure Ai job openings in the United States as of June 2026, with employment types broken down into 27% Full Time, 46% Part Time, and 27% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.
Associate AI Solutions Developer

Associate AI Solutions Developer

Bridgehead IT

San Antonio, TX • On-site

Full-time

Posted 21 days ago


Job description

Job Type
Full-time
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).