ZipRecruiter

Log In

2

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 ...

OneStream Software

Software Engineer I

Rochester, MI · Remote

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

OneStream Software

Software Engineer I

Birmingham, MI · Remote

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

OneStream Software

Software Engineer I

Rochester, MI · Remote

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

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)

next page

Showing results 1-20

All JobsAzure Ai JobsEntry Level Azure Ai Jobs

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:
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
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.
Federal AI Solutions Engineer (Entry Level)

Federal AI Solutions Engineer (Entry Level)

A-TEK Inc.

Mclean, VA

$85K - $105K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago

Job description

A-TEK is seeking an early-career Federal AI Solutions Engineer to support the design, development, and deployment of mission-focused AI and cloud solutions across AWS and Azure environments. This role is ideal for recent graduates with a strong academic foundation in Artificial Intelligence, Machine Learning, software engineering, and cloud technologies who are eager to apply their skills to real-world federal mission challenges.

The engineer will work alongside senior architects and engineers to develop AI-enabled applications, cloud-native solutions, automation workflows, and rapid prototypes that support A-TEK's DigitalShift innovation initiatives.

This is a hybrid role based in McLean, VA. No visa sponsorship is available for this role. This role requires the ability to obtain and retain a public trust level security clearance.

Key Responsibilities

AI Solution Development

  • Assist in the design, development, and deployment of AI-powered applications and prototypes using:
    • AWS Bedrock
    • Azure OpenAI
    • LangChain, LlamaIndex, Semantic Kernel, CrewAI, or similar frameworks
  • Develop and test prompt engineering strategies, retrieval-augmented generation (RAG) workflows, and AI agent capabilities.
  • Support integration of AI solutions with APIs, enterprise systems, and cloud services.

Cloud Engineering

  • Build and maintain cloud-based environments in AWS and Azure.
  • Assist with infrastructure deployment using Infrastructure-as-Code tools such as Terraform, AWS CDK, or Bicep.
  • Support containerized deployments using ECS, EKS, or AKS.
  • Participate in CI/CD implementation and cloud automation efforts.

Technical Support & Innovation

  • Support senior engineers in troubleshooting cloud, AI, and data integration challenges.
  • Assist in developing reusable templates, accelerators, and reference architectures.
  • Participate in rapid prototyping efforts that demonstrate mission value for federal customers.

Collaboration & Knowledge Sharing

  • Collaborate with Cloud, Cybersecurity, Data Intelligence, and Agile Engineering teams.
  • Contribute to technical documentation, architecture diagrams, and knowledge-sharing initiatives.
  • Stay current with emerging AI, machine learning, and cloud technologies.

Security & Compliance

  • Support implementation of solutions that align with:
    • NIST AI Risk Management Framework (AI RMF)
    • FedRAMP requirements
    • Zero Trust principles
    • Secure coding and responsible AI practices

Required Qualifications

Education (Required)

Bachelor's degree in Computer Science with a concentration, specialization, minor, or significant coursework in Artificial Intelligence, Machine Learning, Data Science, or a closely related field.

Experience

  • 0-2 years of professional software engineering, AI/ML, or cloud development experience.
  • Relevant internships, research projects, capstone projects, graduate assistantships, or co-op experience may be substituted for professional experience.
  • Demonstrated programming experience in Python through coursework, projects, internships, or employment.

Technical Skills

  • Foundational understanding of machine learning, generative AI, and large language models.
  • Experience using cloud platforms (AWS or Azure) through coursework, internships, certifications, or projects.
  • Familiarity with:
    • REST APIs
    • Git version control
    • Containerization concepts
    • Data pipelines and databases
  • Understanding of prompt engineering, RAG concepts, or AI agents through academic or personal projects.
  • Strong analytical and problem-solving skills.

Certifications

One of the following is preferred within the first year of employment:

  • AWS Certified Cloud Practitioner or AWS Solutions Architect Associate
  • Microsoft Azure Fundamentals (AZ-900) or Azure AI Fundamentals (AI-900)

Preferred Qualifications

  • Academic or project experience with:
    • LangChain
    • LlamaIndex
    • Semantic Kernel
    • CrewAI
  • Exposure to vector databases such as Pinecone, Weaviate, FAISS, or Milvus.
  • Experience building AI, machine learning, or cloud-based capstone projects.
  • Familiarity with DevOps, MLOps, or CI/CD concepts.
  • Interest in federal government missions and emerging AI technologies.

Compensation

Salary Range

$85,000 - $105,000 annually

Salary will be determined based on education, certifications, internship experience, technical proficiency, and security clearance eligibility.

Benefits

  • Medical, Dental, and Vision Insurance
  • 401(k) with Employer Match
  • Paid Time Off and Federal Holidays
  • Professional Development and Certification Reimbursement
  • Career Growth and Mentorship Opportunities

Apply