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Entry Level Azure Ai Jobs (NOW HIRING)

Credence

Entry-Level AI Software Engineer

Mclean, VA · On-site

$90K - $110K/yr

Position Summary Credence is seeking a highly motivated Entry-Level AI Software Engineer to join ... Exposure to cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP)

Worky

Entry-Level AI Software Engineer

Mclean, VA · On-site

$90K - $110K/yr

Position Summary Credence is seeking a highly motivated Entry-Level AI Software Engineer to join ... Exposure to cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP)

Credence

Entry-Level AI Software Engineer

Mclean, VA

$90K - $110K/yr

Position Summary Credence is seeking a highly motivated Entry-Level AI Software Engineer to join ... Exposure to cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP)

Credence

Entry-Level AI Software Engineer

Mclean, VA · On-site

$90K - $110K/yr

Position Summary Credence is seeking a highly motivated Entry-Level AI Software Engineer to join ... Exposure to cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP)

Credence

Entry-Level AI Software Engineer

Mclean, VA · On-site

$90K - $110K/yr

Position Summary Credence is seeking a highly motivated Entry-Level AI Software Engineer to join ... Exposure to cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP)

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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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.

Entry-Level AI Software Engineer

Mclean, VA • On-site

Credence
See more jobs at Credenceexternal

$90K - $110K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Job description

Overview

Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose.

We’ve been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges.

Position Summary

Credence is seeking a highly motivated Entry-Level AI Software Engineer to join our growing technology team. This is an exciting opportunity for a recent graduate or early-career professional who is passionate about artificial intelligence, software engineering, and emerging technologies.

In this role, you will work under the mentorship of senior engineers and AI practitioners to support the design, development, testing, and deployment of software and AI-driven solutions. You will gain hands‑on experience with modern development tools, cloud technologies, data platforms, and machine learning concepts while contributing to mission‑focused federal technology programs.

This role is ideal for individuals who are eager to learn, solve complex problems, and build innovative solutions that create measurable impact.

Responsibilities include, but are not limited to the duties listed below

  • Assist in the design, development, testing, and deployment of software applications and AI-enabled solutions.
  • Support the development of scalable backend services, APIs, and data-driven applications.
  • Collaborate with engineers and stakeholders to understand requirements and deliver technical solutions.
  • Participate in AI and machine learning solution development, integration, testing, and documentation.
  • Work with cloud platforms and modern software development tools to support application delivery.
  • Contribute to Agile development activities, including sprint planning, standups, retrospectives, and code reviews.
  • Troubleshoot, debug, and resolve software defects during development and quality assurance cycles.
  • Develop and maintain technical documentation, user guides, and engineering artifacts.
  • Learn and apply software engineering best practices, including secure coding, version control, testing, and CI/CD processes.
  • Stay current with emerging technologies, including Generative AI, machine learning, cloud computing, automation, and modern software development practices.
  • Bachelor's degree in Computer Engineering, Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related technical field.
  • Strong programming skills in one or more languages such as Python, Java, C++, JavaScript, or TypeScript.
  • Understanding of software development fundamentals, data structures, algorithms, and object‑oriented programming concepts.
  • Familiarity with software development methodologies such as Agile or Scrum.
  • Strong analytical thinking and problem‑solving abilities.
  • Excellent written and verbal communication skills.
  • Demonstrated interest in artificial intelligence, software engineering, data engineering, or emerging technologies through coursework, projects, research, or personal initiatives.
  • U.S. Citizenship with the ability to obtain and maintain a Secret Security Clearance.
Preferred Qualifications
  • Internship, research, co‑op, hackathon, or capstone project experience related to software development, AI, machine learning, or data engineering.
  • Exposure to cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
  • Familiarity with Git and version control best practices.
  • Knowledge of APIs, databases, data processing, or cloud‑native architectures.
  • Exposure to AI/ML concepts, Generative AI, large language models (LLMs), or data analytics.
  • Interest in cybersecurity, DevSecOps, automation, or data engineering.
  • Experience with Python‑based development or AI/ML libraries through academic projects.
  • Active Security Clearance.
What We Offer
  • Meaningful work supporting federal missions that positively impact national security, public health, and global initiatives.
  • Hands‑on mentorship from experienced software engineers, AI engineers, and technology leaders.
  • Exposure to cutting‑edge technologies, including AI, cloud computing, data engineering, and automation.
  • Professional development, training, and certification opportunities.
  • Clear career growth pathways within a rapidly growing technology organization.

Salary Range:$90,000 - $110,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications.

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Training & Development
  • Wellness Resources
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